{"id":2892977,"url":"https://alion.io/job/netflix-software-engineer-45-model-serving-systems-ai-platform","title":"Software Engineer 4/5 – Model Serving Systems, AI Platform","company":{"id":5888,"name":"Netflix","domain":"netflix.com","url":"https://alion.io/company/netflix","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":88,"open_postings":82,"ghost_share":0,"stale_share":0.488,"repost_share":0,"time_to_fill_p50_days":58,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":466000,"max":750000,"currency":"USD","period":"year","gross":null,"usd_annual":750000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"TensorRT","optional":false},{"name":"Triton Inference Server","optional":false}],"status":"live","first_seen_at":"2025-01-09T00:00:00Z","employer_posted_date":"2026-01-01","last_verified_at":"2026-10-24T03:01:44Z","board_verified":true,"closed_at":null,"days_open":653,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":653},"description":"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.\nMachine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose the right title for them through personalization, to better understanding our audience and our content slate, to optimizing our payment processing and other revenue-focused initiatives. Building highly scalable and differentiated AI infrastructure is key to accelerating this innovation.\nMore recently, fast-paced innovation in large language models (LLMs) has greatly helped advance state-of-the-art technology in many areas of personalization, including search and recommendation experiences.\nThe Opportunity\nThe Model Serving Systems team provides the computational platform on which we build nearly all our consumer and studio-facing AI/ML applications. We provide all the building blocks to serve AI/ML models at scale, including a real-time model inference and serving platform, foundational abstractions that ensure consistency between online and offline systems, and more. Additionally, as we expand to enable LLM innovation in numerous areas of personalization, we’re building model serving infrastructure for LLMs and other large foundation models.\nWe're expanding our model serving systems to meet the evolving needs of the evolving AI landscape. We are looking for strong engineers to develop and expand our compute infrastructure to support the growing AI needs, enable the application of ML in new business areas, and drive AI/ML innovation across Netflix. Our systems power some of Netflix's most business-critical models, and we need you to take our AI/ML initiatives to the next level. You will play a highly cross-functional role, partnering with other engineers, product managers, machine learning engineers, and data/research scientists.\nIf you have a passion for building scalable, robust systems, are interested in pushing the envelope in applying AI/ML algorithms, and operate in a critical part of the stack that strongly influences what our customers see on their screens, then we want to talk to you.\nYou may enjoy working with us if:\nYou strive to embrace best practices and are curious about discovering new and better ways to solve problems.\n\nYou are self-driven and highly motivated to deliver top-tier solutions while learning from and collaborating with Stunning Colleagues.\n\nYou are strongly motivated to pick up new domains and ship high-quality, extensible code.\n\nYou are excited to work in a multidisciplinary environment (engineering, algorithms, data engineering/science, product experimentation).\n\nYou are comfortable working in a team with peers and partners distributed across (US) geographies & time zones.\n\nWe would love to work with you if:\nYou have experience building high-traffic distributed services and infrastructure for online ML model inference and are familiar with supporting large-scale ML models focusing on high availability and performance.\n\nYou understand scalable model-serving solutions for generative models and LLMs, with skills in reducing latency and costs, and can solve bottlenecks to streamline research-to-production workflows.\n\nYou are proficient in object-oriented programming (preferably Java) and demonstrate engineering excellence in production hosting, including performance tuning, deployment management, and capacity planning.\n\nYou are familiar with deploying ML models using tools like Triton Inference Server, TensorRT, Docker.\n\nYou are experienced working with the public cloud like AWS, Azure, or GCP.\n\nYou are a proactive communicator who promotes best practices in observability and logging.\n\nYou have a BS/MS in Computer Science, Applied Math, Engineering, or a related field.\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 $466,000.00 - $750,000.00. 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.\nNetflix is a unique culture and environment. Learn more here.\nInclusion is 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.\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.\nJob is open for no less than 7 days and will be removed when the position is filled.","description_format":"text","description_chars":5981,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible time off","Retirement plans","Stock options"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-10-20T03:29:04Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.262,"p_room":0.28,"age_days":653,"expected_fill_days":58,"reasons":["conf:3","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":{"stated_usd_annual":750000,"is_top_pay":true},"html_url":"https://alion.io/job/netflix-software-engineer-45-model-serving-systems-ai-platform","json_url":"https://alion.io/job/netflix-software-engineer-45-model-serving-systems-ai-platform.json","meta":{"generated_at":"2026-10-24T06:12:25Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8967,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5888},"rest":"https://alion.io/mcp/rest/get_company?id=5888"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnetflix-software-engineer-45-model-serving-systems-ai-platform"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnetflix-software-engineer-45-model-serving-systems-ai-platform"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnetflix-software-engineer-45-model-serving-systems-ai-platform"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/netflix-software-engineer-45-model-serving-systems-ai-platform\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnetflix-software-engineer-45-model-serving-systems-ai-platform"}]}