{
  "jobs": [
    {
      "id": "netflix/ai-research-scientist-4-5-generative-models-recommender-systems",
      "title": "AI Research Scientist 4/5 - Generative Models, Recommender Systems",
      "link": "https://himalayas.app/companies/netflix/jobs/ai-research-scientist-4-5-generative-models-recommender-systems",
      "company": {
        "name": "Netflix",
        "slug": "netflix",
        "link": "https://himalayas.app/companies/netflix",
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          "name": "AI Research Scientist",
          "slug": "ai-research-scientist"
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        {
          "name": "Machine Learning Scientist",
          "slug": "machine-learning-scientist"
        },
        {
          "name": "Research Scientist",
          "slug": "research-scientist"
        },
        {
          "name": "Generative AI Engineer",
          "slug": "generative-ai-engineer"
        },
        {
          "name": "AI ML Research Scientist",
          "slug": "ai-ml-research-scientist"
        },
        {
          "name": "AI Research Scientist Positions",
          "slug": "ai-research-scientist-positions"
        },
        {
          "name": "Recommendation Systems Scientist",
          "slug": "recommendation-systems-scientist"
        },
        {
          "name": "Machine Learning Research Scientist",
          "slug": "machine-learning-research-scientist"
        },
        {
          "name": "Applied AI Research Scientist",
          "slug": "applied-ai-research-scientist"
        },
        {
          "name": "Senior AI ML Scientist",
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      ],
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          "slug": "data-science"
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      "skills": [
        "LLM",
        "Generative Models",
        "Deep Learning",
        "Natural Language Processing",
        "Natural Language Understanding",
        "Natural Language Generation",
        "Summarization",
        "LLM As Judge",
        "Diffusion Models",
        "Vision Diffusion Models",
        "Recommendation Systems",
        "Personalization",
        "Machine Learning",
        "Model Training",
        "Model Evaluation"
      ],
      "requirements": null,
      "excerpt": "At Netflix, our mission is to entertain the world.",
      "description_html": "<p>At <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.</p><p>The Promotional Assets &amp; Creative Technology AIMS team is at the forefront of <a href=\"https://himalayas.app/companies/netflix\">Netflix</a>'s efforts to effectively promote titles and enhance the content discovery experience. We are looking for a seasoned Machine Learning Scientist to design and develop innovative Machine Learning (ML) solutions. In this rare opportunity, you will have the chance to define the direction for algorithmic strategies and spearhead the execution of ML solutions and ultimately shape how titles are promoted on <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> and discovered by our members.</p><h3>Responsibilities</h3><ul>\n<li><p>Track advancements in LLM and generative model research, and translate them into concrete opportunities for the problem space we are working on.</p></li>\n<li><p>Apply state-of-the-art techniques to high-impact problems such as summarization quality and building LLM-based evaluators (\"judges\") that assess whether generated content meets quality bars.</p></li>\n<li><p>Lead end-to-end ML development on these problems: research, model training, and evaluation.</p></li>\n<li><p>Optimize generated content for member impact, treating content generation and audience targeting as coupled problems — drawing on recommendation systems thinking to ensure generated assets are optimized for the members they're meant to reach.</p></li>\n<li><p>Partner with ML scientists and engineers to integrate models into business applications and platforms.</p></li>\n<li><p>Translate complex technical concepts for both technical and non-technical stakeholders to inform strategic decisions.</p></li>\n<li><p>Act as a subject matter expert, working cross-functionally to identify high-impact opportunities and define and execute roadmaps.</p></li>\n<li><p>Engage with the ML community, internal and external, to learn, to teach, and to contribute to building a great <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> brand.</p></li>\n</ul><h3>About you</h3><ul>\n<li><p>Demonstrated habit of tracking the LLM/generative model literature and a knack for spotting which advances are relevant to real business problems.</p></li>\n<li><p>Strong foundation in ML and Deep Learning, especially in Natural Language Processing / Understanding and Generation. Research experience in summarization or generated-text evaluation (e.g., LLM-as-judge methods) is a big plus; background in vision models such as diffusion models is a plus.</p></li>\n<li><p>Expertise in one or more LLM post-training approaches.</p></li>\n<li><p>Experience with recommendation systems, personalization, or other member-facing optimization systems is a strong plus.</p></li>\n</ul>Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $300,000.00 - $537,000.00. This compensation range will vary based on location.<p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.</p><p><a href=\"https://himalayas.app/companies/netflix\">Netflix</a> is a unique culture and environment. Learn more here.</p><p>Inclusionis a <a href=\"https://himalayas.app/companies/netflix\">Netflix</a> value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.</p><p>We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</p><p>Job is open for no less than 7 days and will be removed when the position is filled.</p><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_markdown": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nThe Promotional Assets & Creative Technology AIMS team is at the forefront of Netflix's efforts to effectively promote titles and enhance the content discovery experience. We are looking for a seasoned Machine Learning Scientist to design and develop innovative Machine Learning (ML) solutions. In this rare opportunity, you will have the chance to define the direction for algorithmic strategies and spearhead the execution of ML solutions and ultimately shape how titles are promoted on Netflix and discovered by our members.\n\n## Responsibilities\n\n- Track advancements in LLM and generative model research, and translate them into concrete opportunities for the problem space we are working on.\n\n- Apply state-of-the-art techniques to high-impact problems such as summarization quality and building LLM-based evaluators (\"judges\") that assess whether generated content meets quality bars.\n\n- Lead end-to-end ML development on these problems: research, model training, and evaluation.\n\n- Optimize generated content for member impact, treating content generation and audience targeting as coupled problems — drawing on recommendation systems thinking to ensure generated assets are optimized for the members they're meant to reach.\n\n- Partner with ML scientists and engineers to integrate models into business applications and platforms.\n\n- Translate complex technical concepts for both technical and non-technical stakeholders to inform strategic decisions.\n\n- Act as a subject matter expert, working cross-functionally to identify high-impact opportunities and define and execute roadmaps.\n\n- Engage with the ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand.\n\n## About you\n\n- Demonstrated habit of tracking the LLM/generative model literature and a knack for spotting which advances are relevant to real business problems.\n\n- Strong foundation in ML and Deep Learning, especially in Natural Language Processing / Understanding and Generation. Research experience in summarization or generated-text evaluation (e.g., LLM-as-judge methods) is a big plus; background in vision models such as diffusion models is a plus.\n\n- Expertise in one or more LLM post-training approaches.\n\n- Experience with recommendation systems, personalization, or other member-facing optimization systems is a strong plus.\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $300,000.00 - $537,000.00. This compensation range will vary based on location.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nJob is open for no less than 7 days and will be removed when the position is filled.",
      "description_text": "At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\n\nThe Promotional Assets & Creative Technology AIMS team is at the forefront of Netflix's efforts to effectively promote titles and enhance the content discovery experience. We are looking for a seasoned Machine Learning Scientist to design and develop innovative Machine Learning (ML) solutions. In this rare opportunity, you will have the chance to define the direction for algorithmic strategies and spearhead the execution of ML solutions and ultimately shape how titles are promoted on Netflix and discovered by our members.\n\nResponsibilities\n\n-\nTrack advancements in LLM and generative model research, and translate them into concrete opportunities for the problem space we are working on.\n\n-\nApply state-of-the-art techniques to high-impact problems such as summarization quality and building LLM-based evaluators (\"judges\") that assess whether generated content meets quality bars.\n\n-\nLead end-to-end ML development on these problems: research, model training, and evaluation.\n\n-\nOptimize generated content for member impact, treating content generation and audience targeting as coupled problems — drawing on recommendation systems thinking to ensure generated assets are optimized for the members they're meant to reach.\n\n-\nPartner with ML scientists and engineers to integrate models into business applications and platforms.\n\n-\nTranslate complex technical concepts for both technical and non-technical stakeholders to inform strategic decisions.\n\n-\nAct as a subject matter expert, working cross-functionally to identify high-impact opportunities and define and execute roadmaps.\n\n-\nEngage with the ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand.\n\nAbout you\n\n-\nDemonstrated habit of tracking the LLM/generative model literature and a knack for spotting which advances are relevant to real business problems.\n\n-\nStrong foundation in ML and Deep Learning, especially in Natural Language Processing / Understanding and Generation. Research experience in summarization or generated-text evaluation (e.g., LLM-as-judge methods) is a big plus; background in vision models such as diffusion models is a plus.\n\n-\nExpertise in one or more LLM post-training approaches.\n\n-\nExperience with recommendation systems, personalization, or other member-facing optimization systems is a strong plus.\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $300,000.00 - $537,000.00. This compensation range will vary based on location.\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\n\nJob is open for no less than 7 days and will be removed when the position is filled.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-10T13:46:25Z",
      "expires_at": "2026-12-09T13:46:24Z",
      "links": {
        "tech_stack": "https://himalayas.app/companies/netflix/tech-stack",
        "benefits": "https://himalayas.app/companies/netflix/benefits"
      }
    },
    {
      "id": "reddit/machine-learning-engineer-answers-relevance",
      "title": "Machine Learning Engineer, Answers Relevance",
      "link": "https://himalayas.app/companies/reddit/jobs/machine-learning-engineer-answers-relevance",
      "company": {
        "name": "Reddit",
        "slug": "reddit",
        "link": "https://himalayas.app/companies/reddit",
        "logo_link": "https://cdn-images.himalayas.app/ujatlnna685twkbwstctgicqmc9z",
        "is_verified": false
      },
      "employment_type": "full-time",
      "seniority": [
        "senior"
      ],
      "salary": {
        "min": 216700,
        "max": 322000,
        "currency": "USD",
        "period": "annual"
      },
      "location": {
        "countries": [
          "United States"
        ],
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        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Machine Learning Engineer",
          "slug": "machine-learning-engineer"
        },
        {
          "name": "Senior ML Engineer",
          "slug": "senior-ml-engineer"
        },
        {
          "name": "Staff Machine Learning Engineer",
          "slug": "staff-machine-learning-engineer"
        },
        {
          "name": "Search Engineer",
          "slug": "search-engineer"
        },
        {
          "name": "Applied Machine Learning Engineer",
          "slug": "applied-machine-learning-engineer"
        },
        {
          "name": "Search and Recommendation Machine Learning Engineer",
          "slug": "search-and-recommendation-machine-learning-engineer"
        },
        {
          "name": "AI ML Engineer",
          "slug": "ai-ml-engineer"
        },
        {
          "name": "Machine Learning Engineering",
          "slug": "machine-learning-engineering"
        }
      ],
      "parent_categories": [
        {
          "name": "Data Science",
          "slug": "data-science"
        },
        {
          "name": "Developer",
          "slug": "developer"
        }
      ],
      "skills": [
        "TensorFlow",
        "PyTorch",
        "Hugging Face Transformers",
        "Python",
        "Recommendation Systems",
        "LLM",
        "RAG Systems",
        "Embeddings",
        "Agentic AI",
        "Prompt Engineering",
        "Model Fine Tuning",
        "Data Pipelines",
        "Feature Engineering",
        "Model Serving",
        "Machine Learning",
        "Recommendations",
        "Search",
        "Large Scale Data Models",
        "ML Infrastructure",
        "Retreaver",
        "Retrieval Methods",
        "LLM Evaluation",
        "Production AI",
        "Tool calling",
        "MCP",
        "Multi Agent Systems",
        "Orchestration",
        "Qwen",
        "LLaMA",
        "Fine Tuning",
        "Post Training Data",
        "prompt optimization",
        "Grounding",
        "Instruction Following",
        "Hallucination Detection",
        "Retrieval Quality",
        "Caching",
        "Cost",
        "Safety Procedures",
        "Prompt Injection",
        "Unsafe Inputs",
        "Product Success",
        "Feedback Loop Development",
        "Human Review",
        "Ranking",
        "Model Training",
        "Production Monitoring",
        "Hugging Face",
        "Loops"
      ],
      "requirements": {
        "education_required": null,
        "education": null,
        "experience_required": true,
        "experience_years_min": 4,
        "experience": "required (4+ years)"
      },
      "excerpt": "Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.",
      "description_html": "<div class=\"content-intro\"><div class=\"c-message_kit__blocks c-message_kit__blocks--rich_text\"><div class=\"c-message__message_blocks c-message__message_blocks--rich_text\"><div class=\"p-block_kit_renderer\"><div class=\"p-block_kit_renderer__block_wrapper p-block_kit_renderer__block_wrapper--first\"><div class=\"p-rich_text_block\"><div class=\"p-rich_text_section\">\n<a href=\"https://himalayas.app/companies/reddit\">Reddit</a> is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, <a href=\"https://himalayas.app/companies/reddit\">Reddit</a> users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, <a href=\"https://himalayas.app/companies/reddit\">Reddit</a> is one of the internet’s largest sources of information. For more information, visit .</div></div></div></div></div></div></div><p>At <a href=\"https://himalayas.app/companies/reddit\">Reddit</a>, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From “How do I fix a leaky faucet?” to “What should I watch next?”, the<strong> Answers Relevance </strong>teamleverages AI to connect people with the real-world wisdom of <a href=\"https://himalayas.app/companies/reddit\">Reddit</a> communities. We’re hiring <strong>Senior</strong> and <strong>Staff Machine Learning Engineers </strong>to make Answers smarter, more relevant, and more helpful. Our SOTA AI systems helps surface the right conversations, but the heart of Answers is still people helping people ~ <a href=\"https://himalayas.app/companies/reddit\">Reddit</a>ors sharing what they know with each other!</p><p><strong>What You’ll Work OnYou’ll lead ML projects from idea to production, partnering with Product, Data Science, and Engineering across recommendations, search, messaging, and AI systems.</strong></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><strong><strong>You don’t need experience in every area listed below. A background in a few may make you a great fit!</strong></strong></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><ul>\n<li><strong>Recommendations, search, content understanding, or large-scale data and ML infrastructure</strong></li>\n<li><strong>SOTA large scale RecSys </strong></li>\n<li><strong>Foundational retriever models</strong></li>\n<li><strong>RAG systems, retrieval methods, LLM evaluation, or production LLM features</strong></li>\n<li><strong>Agentic AI, such as tool calls, MCPs, multi-agent systems, or orchestration</strong></li>\n<li><strong>Self-hosted open-weight models such as Qwen or Llama; prompt engineering, fine-tuning, post-training, or prompt optimization</strong></li>\n<li><strong>Improving grounding, instruction following, and hallucination; evaluating retrieval and generation quality</strong></li>\n<li><strong>Scaling LLM systems, including latency, caching, and cost; safety measures for prompt injection and unsafe inputs</strong></li>\n<li><strong>Defining product success metrics, feedback loops, and evaluation approaches, including human review</strong></li>\n</ul><h3><strong>What You’ll Do</strong></h3><ul>\n<li><strong>Build and improve large-scale ML systems, including retrieval and ranking, embeddings, and LLM-powered features</strong></li>\n<li><strong>Set technical direction and deliver measurable user and business impact</strong></li>\n<li><strong>Work with partner teams to shape product and technical roadmaps</strong></li>\n<li><strong>Evaluate new AI/ML approaches and support responsible LLM development</strong></li>\n<li><strong>Mentor engineers and contribute to long-term ML planning</strong></li>\n</ul><h3><strong>Required Qualifications</strong></h3><ul>\n<li><strong><strong>4–12 years of experience</strong> building, deploying, and operating ML systems in production</strong></li>\n<li><strong>Broad knowledge of ML fundamentals and experience applying them in production; expert-level modeling depth isn’t required</strong></li>\n<li><strong>Experience developing and productionizing models with TensorFlow, PyTorch, or Hugging Face Transformers</strong></li>\n<li><strong>Experience writing production-quality code, including testing, evaluation, and monitoring; Python experience required, Golang experience a plus</strong></li>\n<li><strong>Experience with ML systems such as data pipelines, feature engineering, model training and serving, and production monitoring</strong></li>\n<li><strong>Strong communication and collaboration skills, and a record of delivering measurable product impact</strong></li>\n</ul><h3><strong>Benefits</strong></h3><ul>\n<li><strong>Comprehensive Healthcare Benefits and Income Replacement Programs</strong></li>\n<li><strong>401k with Employer Match</strong></li>\n<li><strong>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</strong></li>\n<li><strong>Family Planning Support</strong></li>\n<li><strong>Gender-Affirming Care</strong></li>\n<li><strong>Mental Health &amp; Coaching Benefits</strong></li>\n<li><strong>Flexible Vacation &amp; Paid Volunteer Time Off</strong></li>\n<li><strong>Generous Paid Parental Leave </strong></li>\n</ul><div class=\"content-pay-transparency\"><div class=\"pay-input\">\n<div class=\"description\">\n<h3><strong>Pay Transparency:</strong></h3>\n<p><strong>This job posting may span more than one career level.</strong></p>\n<p><strong>In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, <a href=\"https://himalayas.app/companies/reddit\">Reddit</a> offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit .</strong></p>\n<p><strong>To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.</strong></p>\n</div>\n<div class=\"title\"><strong>The base salary range for this position is:</strong></div>\n<div class=\"pay-range\"><strong>$216,700—$322,000 USD</strong></div>\n</div></div><div class=\"content-conclusion\">\n<p><strong>In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.</strong></p>\n<p><strong>During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.</strong></p>\n<p><strong><em><a href=\"https://himalayas.app/companies/reddit\">Reddit</a> is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  <a href=\"https://himalayas.app/companies/reddit\">Reddit</a> is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</em></strong></p>\n</div><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_markdown": "Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From “How do I fix a leaky faucet?” to “What should I watch next?”, the Answers Relevance teamleverages AI to connect people with the real-world wisdom of Reddit communities. We’re hiring Senior and Staff Machine Learning Engineers to make Answers smarter, more relevant, and more helpful. Our SOTA AI systems helps surface the right conversations, but the heart of Answers is still people helping people ~ Redditors sharing what they know with each other!\n\nWhat You’ll Work OnYou’ll lead ML projects from idea to production, partnering with Product, Data Science, and Engineering across recommendations, search, messaging, and AI systems.\n\nYou don’t need experience in every area listed below. A background in a few may make you a great fit!\n\n- Recommendations, search, content understanding, or large-scale data and ML infrastructure\n- SOTA large scale RecSys \n- Foundational retriever models\n- RAG systems, retrieval methods, LLM evaluation, or production LLM features\n- Agentic AI, such as tool calls, MCPs, multi-agent systems, or orchestration\n- Self-hosted open-weight models such as Qwen or Llama; prompt engineering, fine-tuning, post-training, or prompt optimization\n- Improving grounding, instruction following, and hallucination; evaluating retrieval and generation quality\n- Scaling LLM systems, including latency, caching, and cost; safety measures for prompt injection and unsafe inputs\n- Defining product success metrics, feedback loops, and evaluation approaches, including human review\n## What You’ll Do\n\n- Build and improve large-scale ML systems, including retrieval and ranking, embeddings, and LLM-powered features\n- Set technical direction and deliver measurable user and business impact\n- Work with partner teams to shape product and technical roadmaps\n- Evaluate new AI/ML approaches and support responsible LLM development\n- Mentor engineers and contribute to long-term ML planning\n## Required Qualifications\n\n- 4–12 years of experience building, deploying, and operating ML systems in production\n- Broad knowledge of ML fundamentals and experience applying them in production; expert-level modeling depth isn’t required\n- Experience developing and productionizing models with TensorFlow, PyTorch, or Hugging Face Transformers\n- Experience writing production-quality code, including testing, evaluation, and monitoring; Python experience required, Golang experience a plus\n- Experience with ML systems such as data pipelines, feature engineering, model training and serving, and production monitoring\n- Strong communication and collaboration skills, and a record of delivering measurable product impact\n## Benefits\n\n- Comprehensive Healthcare Benefits and Income Replacement Programs\n- 401k with Employer Match\n- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support\n- Family Planning Support\n- Gender-Affirming Care\n- Mental Health & Coaching Benefits\n- Flexible Vacation & Paid Volunteer Time Off\n- Generous Paid Parental Leave \n## Pay Transparency:\n\nThis job posting may span more than one career level.\n\nIn addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.\n\nTo provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.\n\nThe base salary range for this position is:$216,700—$322,000 USDIn select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.\n\nDuring the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.\n\nReddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.",
      "description_text": "Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit .\n\nAt Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From “How do I fix a leaky faucet?” to “What should I watch next?”, the Answers Relevance teamleverages AI to connect people with the real-world wisdom of Reddit communities. We’re hiring Senior and Staff Machine Learning Engineers to make Answers smarter, more relevant, and more helpful. Our SOTA AI systems helps surface the right conversations, but the heart of Answers is still people helping people ~ Redditors sharing what they know with each other!\n\nWhat You’ll Work OnYou’ll lead ML projects from idea to production, partnering with Product, Data Science, and Engineering across recommendations, search, messaging, and AI systems.\n\nYou don’t need experience in every area listed below. A background in a few may make you a great fit!\n- Recommendations, search, content understanding, or large-scale data and ML infrastructure\n- SOTA large scale RecSys\n- Foundational retriever models\n- RAG systems, retrieval methods, LLM evaluation, or production LLM features\n- Agentic AI, such as tool calls, MCPs, multi-agent systems, or orchestration\n- Self-hosted open-weight models such as Qwen or Llama; prompt engineering, fine-tuning, post-training, or prompt optimization\n- Improving grounding, instruction following, and hallucination; evaluating retrieval and generation quality\n- Scaling LLM systems, including latency, caching, and cost; safety measures for prompt injection and unsafe inputs\n- Defining product success metrics, feedback loops, and evaluation approaches, including human review\n\nWhat You’ll Do\n- Build and improve large-scale ML systems, including retrieval and ranking, embeddings, and LLM-powered features\n- Set technical direction and deliver measurable user and business impact\n- Work with partner teams to shape product and technical roadmaps\n- Evaluate new AI/ML approaches and support responsible LLM development\n- Mentor engineers and contribute to long-term ML planning\n\nRequired Qualifications\n- 4–12 years of experience building, deploying, and operating ML systems in production\n- Broad knowledge of ML fundamentals and experience applying them in production; expert-level modeling depth isn’t required\n- Experience developing and productionizing models with TensorFlow, PyTorch, or Hugging Face Transformers\n- Experience writing production-quality code, including testing, evaluation, and monitoring; Python experience required, Golang experience a plus\n- Experience with ML systems such as data pipelines, feature engineering, model training and serving, and production monitoring\n- Strong communication and collaboration skills, and a record of delivering measurable product impact\n\nBenefits\n- Comprehensive Healthcare Benefits and Income Replacement Programs\n- 401k with Employer Match\n- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support\n- Family Planning Support\n- Gender-Affirming Care\n- Mental Health & Coaching Benefits\n- Flexible Vacation & Paid Volunteer Time Off\n- Generous Paid Parental Leave\n\nPay Transparency:\n\nThis job posting may span more than one career level.\n\nIn addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit .\n\nTo provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.\n\nThe base salary range for this position is:\n\n$216,700—$322,000 USD\n\nIn select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.\n\nDuring the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.\n\nReddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-19T11:53:10Z",
      "expires_at": "2026-12-18T11:53:09Z",
      "links": {
        "tech_stack": "https://himalayas.app/companies/reddit/tech-stack",
        "benefits": "https://himalayas.app/companies/reddit/benefits"
      }
    },
    {
      "id": "airbnb/senior-software-engineer-native-mobile",
      "title": "Senior Software Engineer, Native Mobile",
      "link": "https://himalayas.app/companies/airbnb/jobs/senior-software-engineer-native-mobile",
      "company": {
        "name": "Airbnb",
        "slug": "airbnb",
        "link": "https://himalayas.app/companies/airbnb",
        "logo_link": "https://cdn-images.himalayas.app/u0jjw2quulyx0u0b1bgslfzpaoyz",
        "is_verified": false
      },
      "employment_type": "full-time",
      "seniority": [
        "senior"
      ],
      "salary": {
        "min": 196000,
        "max": 227000,
        "currency": "USD",
        "period": "annual"
      },
      "location": {
        "countries": [
          "United States"
        ],
        "is_worldwide": false,
        "timezone_offsets": [
          -10,
          -9,
          -8,
          -7,
          -6,
          -5,
          14
        ],
        "has_timezone_restriction": true
      },
      "categories": [
        {
          "name": "Software Engineer",
          "slug": "software-engineer"
        },
        {
          "name": "Mobile Application Developer",
          "slug": "mobile-application-developer"
        },
        {
          "name": "iOS Developer",
          "slug": "ios-developer"
        },
        {
          "name": "Android Developer",
          "slug": "android-developer"
        },
        {
          "name": "Native Mobile Engineering",
          "slug": "native-mobile-engineering"
        },
        {
          "name": "Senior Mobile Engineer",
          "slug": "senior-mobile-engineer"
        },
        {
          "name": "Senior Mobile Engineering",
          "slug": "senior-mobile-engineering"
        },
        {
          "name": "Senior Mobile Developer",
          "slug": "senior-mobile-developer"
        },
        {
          "name": "Mobile Software Engineer (IOS Android)",
          "slug": "mobile-software-engineer-ios-android"
        }
      ],
      "parent_categories": [
        {
          "name": "Developer",
          "slug": "developer"
        }
      ],
      "skills": [
        "Swift",
        "Kotlin",
        "UIKit",
        "SwiftUI",
        "Jetpack Compose",
        "iOS",
        "Android",
        "GraphQL",
        "Mobile Architecture",
        "Native Mobile Development",
        "Code Review",
        "Testing Frameworks",
        "React Native",
        "Flutter",
        "Jetpack",
        "Kotlin Native",
        "Durable"
      ],
      "requirements": {
        "education_required": null,
        "education": null,
        "experience_required": true,
        "experience_years_min": 6,
        "experience": "required (6+ years)"
      },
      "excerpt": "Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe.",
      "description_html": "<div class=\"content-intro\"><p><a href=\"https://himalayas.app/companies/airbnb\">Airbnb</a> was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.</p></div><h3>The Community You Will Join: </h3><p>Guest &amp; Host Technology builds the end-to-end experience that connects people around the world: from the first search to the moment a trip becomes a memory. Because that experience lives natively on iOS and Android, with no cross-platform framework in between, we're looking for engineers who move fluidly across both platforms to keep architecture, performance, and product quality coherent everywhere our guests and hosts show up.</p><h3>The Difference You Will Make:</h3><p>We're looking for a Senior Software Engineer who can operate as a true dual-platform native engineer — someone with solid, current fluency in both iOS and Android. You'll own features end-to-end across both apps, and you'll be one of the people trusted to make architectural calls that need to hold up identically on Swift and Kotlin.</p><p>You'll write production code on both platforms, and you'll also be expected to think beyond any single feature: flagging where our two native codebases are drifting apart, where a shared contract (like our GraphQL client layer) needs to evolve, and helping less experienced engineers ramp into dual-platform work.</p><h3>A Typical Day: </h3><ul>\n<li>Design and ship features across our iOS (Swift) and Android (Kotlin) native codebases, often the same initiative, shipped in parallel on both platforms</li>\n<li>Partner with design and product to translate one product spec into two platform-idiomatic implementations, rather than porting one platform's UI onto the other</li>\n<li>Uphold architecture, performance, and app-size standards that apply equally to both platforms</li>\n<li>Weigh in on shared client contracts (schema, logging, testing frameworks) consumed by both apps, and flag when a change would let the platforms drift apart</li>\n<li>Help other engineers ramp into dual-platform work through pairing and code review</li>\n<li>Participate in technical reviews and architecture discussions where your judgment is expected to span both platforms, not just one</li>\n</ul><h3>Your Expertise:</h3><ul>\n<li>6+ years of professional software engineering experience, with deep, current, hands-on expertise in both native iOS (Swift, UIKit/SwiftUI) and native Android (Kotlin, Jetpack Compose), not legacy exposure to one platform and active work on the other</li>\n<li>A track record of independently shipping medium-to-large complexity features on either platform without ramp-up, and the ability to read, debug, and reason about the other platform's code even where you're less deep</li>\n<li>Solid opinions on mobile architecture, backed by experience keeping two independent native codebases coherent at scale</li>\n<li>Comfort owning a feature end-to-end with real ambiguity, and identifying when a decision needs to be escalated versus made independently</li>\n<li>Experience partnering closely with design and product to translate ambiguous requirements into concrete, platform-appropriate implementations</li>\n<li>A pragmatic view on cross-platform tooling — you understand why fully native matters here, and you're not looking for a role where you can lean on React Native or Flutter instead of doing the harder, more durable work</li>\n</ul><h3>Your Location:</h3><p>This position is US - Remote Eligible. The role may include occasional work at an <a href=\"https://himalayas.app/companies/airbnb\">Airbnb</a> office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where <a href=\"https://himalayas.app/companies/airbnb\">Airbnb</a>, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another <a href=\"https://himalayas.app/companies/airbnb\">Airbnb</a> entity, your recruiter will inform you what states you are eligible to work from.</p><h3>Our Commitment To Inclusion &amp; Belonging:</h3><p><a href=\"https://himalayas.app/companies/airbnb\">Airbnb</a> is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.</p><p>We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: . Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. </p><p>We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.</p><p><strong>Equal Employment Opportunity</strong>:</p><p><a href=\"https://himalayas.app/companies/airbnb\">Airbnb</a> values diversity &amp; belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at <a href=\"https://himalayas.app/companies/airbnb\">Airbnb</a> are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.</p><div class=\"content-pay-transparency\"><div class=\"pay-input\">\n<div class=\"description\">\n<h3>How We'll Take Care of You:</h3>\n<p class=\"p1\">Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.  </p>\n</div>\n<div class=\"title\">Pay Range</div>\n<div class=\"pay-range\">$196,000—$227,000 USD</div>\n</div></div><div class=\"content-conclusion\">\n<p><strong>Reasonable Accommodations:</strong> We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.</p>\n<p><strong>A Note on Recruiting Scams:</strong> Scammers sometimes pose as <a href=\"https://himalayas.app/companies/airbnb\">Airbnb</a> recruiters to get money or personal information from candidates. A few things that will always be true for <a href=\"https://himalayas.app/companies/airbnb\">Airbnb</a>’s hiring process: our open roles are posted on <a href=\"https://himalayas.app/companies/airbnb\">Airbnb</a>’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ or @ email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing.  We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with <a href=\"https://himalayas.app/companies/airbnb\">Airbnb</a>.</p>\n</div><p>Originally posted on <a href=\"https://himalayas.app\">Himalayas</a></p>",
      "description_markdown": "Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.\n\n## The Community You Will Join: \n\nGuest & Host Technology builds the end-to-end experience that connects people around the world: from the first search to the moment a trip becomes a memory. Because that experience lives natively on iOS and Android, with no cross-platform framework in between, we're looking for engineers who move fluidly across both platforms to keep architecture, performance, and product quality coherent everywhere our guests and hosts show up.\n\n## The Difference You Will Make:\n\nWe're looking for a Senior Software Engineer who can operate as a true dual-platform native engineer — someone with solid, current fluency in both iOS and Android. You'll own features end-to-end across both apps, and you'll be one of the people trusted to make architectural calls that need to hold up identically on Swift and Kotlin.\n\nYou'll write production code on both platforms, and you'll also be expected to think beyond any single feature: flagging where our two native codebases are drifting apart, where a shared contract (like our GraphQL client layer) needs to evolve, and helping less experienced engineers ramp into dual-platform work.\n\n## A Typical Day: \n\n- Design and ship features across our iOS (Swift) and Android (Kotlin) native codebases, often the same initiative, shipped in parallel on both platforms\n- Partner with design and product to translate one product spec into two platform-idiomatic implementations, rather than porting one platform's UI onto the other\n- Uphold architecture, performance, and app-size standards that apply equally to both platforms\n- Weigh in on shared client contracts (schema, logging, testing frameworks) consumed by both apps, and flag when a change would let the platforms drift apart\n- Help other engineers ramp into dual-platform work through pairing and code review\n- Participate in technical reviews and architecture discussions where your judgment is expected to span both platforms, not just one\n## Your Expertise:\n\n- 6+ years of professional software engineering experience, with deep, current, hands-on expertise in both native iOS (Swift, UIKit/SwiftUI) and native Android (Kotlin, Jetpack Compose), not legacy exposure to one platform and active work on the other\n- A track record of independently shipping medium-to-large complexity features on either platform without ramp-up, and the ability to read, debug, and reason about the other platform's code even where you're less deep\n- Solid opinions on mobile architecture, backed by experience keeping two independent native codebases coherent at scale\n- Comfort owning a feature end-to-end with real ambiguity, and identifying when a decision needs to be escalated versus made independently\n- Experience partnering closely with design and product to translate ambiguous requirements into concrete, platform-appropriate implementations\n- A pragmatic view on cross-platform tooling — you understand why fully native matters here, and you're not looking for a role where you can lean on React Native or Flutter instead of doing the harder, more durable work\n## Your Location:\n\nThis position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.\n\n## Our Commitment To Inclusion & Belonging:\n\nAirbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.\n\nWe strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. \n\nWe ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.\n\nEqual Employment Opportunity:\n\nAirbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.\n\n## How We'll Take Care of You:\n\nOur job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.  \n\nPay Range$196,000—$227,000 USDReasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.\n\nA Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @airbnb.com or @ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing.  We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.",
      "description_text": "Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.\n\nThe Community You Will Join:\n\nGuest & Host Technology builds the end-to-end experience that connects people around the world: from the first search to the moment a trip becomes a memory. Because that experience lives natively on iOS and Android, with no cross-platform framework in between, we're looking for engineers who move fluidly across both platforms to keep architecture, performance, and product quality coherent everywhere our guests and hosts show up.\n\nThe Difference You Will Make:\n\nWe're looking for a Senior Software Engineer who can operate as a true dual-platform native engineer — someone with solid, current fluency in both iOS and Android. You'll own features end-to-end across both apps, and you'll be one of the people trusted to make architectural calls that need to hold up identically on Swift and Kotlin.\n\nYou'll write production code on both platforms, and you'll also be expected to think beyond any single feature: flagging where our two native codebases are drifting apart, where a shared contract (like our GraphQL client layer) needs to evolve, and helping less experienced engineers ramp into dual-platform work.\n\nA Typical Day:\n- Design and ship features across our iOS (Swift) and Android (Kotlin) native codebases, often the same initiative, shipped in parallel on both platforms\n- Partner with design and product to translate one product spec into two platform-idiomatic implementations, rather than porting one platform's UI onto the other\n- Uphold architecture, performance, and app-size standards that apply equally to both platforms\n- Weigh in on shared client contracts (schema, logging, testing frameworks) consumed by both apps, and flag when a change would let the platforms drift apart\n- Help other engineers ramp into dual-platform work through pairing and code review\n- Participate in technical reviews and architecture discussions where your judgment is expected to span both platforms, not just one\n\nYour Expertise:\n- 6+ years of professional software engineering experience, with deep, current, hands-on expertise in both native iOS (Swift, UIKit/SwiftUI) and native Android (Kotlin, Jetpack Compose), not legacy exposure to one platform and active work on the other\n- A track record of independently shipping medium-to-large complexity features on either platform without ramp-up, and the ability to read, debug, and reason about the other platform's code even where you're less deep\n- Solid opinions on mobile architecture, backed by experience keeping two independent native codebases coherent at scale\n- Comfort owning a feature end-to-end with real ambiguity, and identifying when a decision needs to be escalated versus made independently\n- Experience partnering closely with design and product to translate ambiguous requirements into concrete, platform-appropriate implementations\n- A pragmatic view on cross-platform tooling — you understand why fully native matters here, and you're not looking for a role where you can lean on React Native or Flutter instead of doing the harder, more durable work\n\nYour Location:\n\nThis position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.\n\nOur Commitment To Inclusion & Belonging:\n\nAirbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.\n\nWe strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: . Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.\n\nWe ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.\n\nEqual Employment Opportunity:\n\nAirbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.\n\nHow We'll Take Care of You:\n\nOur job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.\n\nPay Range\n\n$196,000—$227,000 USD\n\nReasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.\n\nA Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ or @ email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.\n\nOriginally posted on Himalayas",
      "published_at": "2026-10-09T07:03:41Z",
      "expires_at": "2026-12-08T07:03:40Z",
      "links": {
        "tech_stack": "https://himalayas.app/companies/airbnb/tech-stack",
        "benefits": "https://himalayas.app/companies/airbnb/benefits"
      }
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