{"id":52986,"url":"https://alion.io/job/anyscale-distributed-llm-inference-engineer","title":"Distributed LLM Inference Engineer","company":{"id":12971,"name":"Anyscale","domain":"anyscale.com","url":"https://alion.io/company/anyscale","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":170000,"max":245000,"currency":"USD","period":"year","gross":null,"usd_annual":245000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Anyscale","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"PyTorch","optional":false},{"name":"Ray","optional":false},{"name":"vLLM","optional":false},{"name":"Apache TVM","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"MLIR","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorRT","optional":true},{"name":"TensorRT-LLM","optional":true},{"name":"Triton","optional":true}],"status":"live","first_seen_at":"2026-05-27T23:45:11Z","employer_posted_date":"2026-05-27","last_verified_at":"2026-10-16T22:48:07Z","board_verified":true,"closed_at":null,"days_open":141,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":141},"description":"About Anyscale\nAt Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.\nWith Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.\nProud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.\nAbout the role\nAs a Distributed LLM Inference Engineer, you will help systems and optimizations that push the boundaries of performance for inference at large scale. This is an incredibly critical role to Anyscale as it allows us to achieve a market leading position for AI infrastructure.\nAs part of this role, you will\nIterate very quickly with product teams to ship the end to end solutions for Batch and Online inference at high scale which will be used by open-source Ray users and customers of Anyscale\n\nWork across the stack integrating Ray Data and LLM engine providing optimizations achieving low cost solutions for large scale ML inference\n\nIntegrate with Open source software like vLLM, work closely with the community to adopt these techniques in Anyscale solutions, and also contribute improvements to open source\n\nFollow the latest state-of-the-art in the open source and the research community, implementing and extending best practices\n\nWe'd love to hear from you if you have\nFamiliarity with running ML inference at large scale with high throughput and low latency\n\nFamiliarity with deep learning and deep learning frameworks (e.g. PyTorch)\n\nSolid understanding of distributed systems, ML inference challenges\n\nBonus points!\nML Systems knowledge\n\nExperience using Ray\n\nWork closely with community on LLM engines like vLLM, TensorRT-LLM\n\nContributions to deep learning frameworks (PyTorch, TensorFlow)\n\nContributions to deep learning compilers (Triton, TVM, MLIR)\n\nPrior experience working on GPUs / CUDA\n\nCompensation\nAt Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. As the market data changes over time, the target salary for this role may be adjusted.\nThis role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:\nStock Options\n\nHealthcare plans, with premiums covered by Anyscale at 99% for both employees and dependents\n\n401k Retirement Plan\n\nEducation & Wellbeing Stipend\n\nPaid Parental Leave\n\nFertility Benefits\n\nPaid Time Off\n\nCommute reimbursement\n\n100% of in-office meals covered\n\nAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.\nAnyscale Inc. is an E-Verify company and you may review theNotice of E-Verify Participationand the Right to Work posters in English and Spanish","description_format":"text","description_chars":3274,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Office meals","Parental leave","Retirement plans","Stock options"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["MLOps","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-05-27T23:45:11Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 19 · green card filings: 4","filings_12m":19,"filings_prev_12m":19,"green_card_filings_12m":4,"median_offered_wage_usd":192717,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":13}],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.431,"p_room":0.35,"age_days":141,"expected_fill_days":68,"reasons":["conf:0","velocity","win:tail"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":245000,"is_top_pay":true},"html_url":"https://alion.io/job/anyscale-distributed-llm-inference-engineer","json_url":"https://alion.io/job/anyscale-distributed-llm-inference-engineer.json","meta":{"generated_at":"2026-10-16T23:12:45Z","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":5129,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":12971},"rest":"https://alion.io/mcp/rest/get_company?id=12971"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fanyscale-distributed-llm-inference-engineer"},{"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%2Fanyscale-distributed-llm-inference-engineer"},{"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%2Fanyscale-distributed-llm-inference-engineer"},{"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/anyscale-distributed-llm-inference-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fanyscale-distributed-llm-inference-engineer"}]}