{"id":52984,"url":"https://alion.io/job/anyscale-machine-learning-engineer-customer-engineering","title":"Customer Engineer, Infrastructure","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":"Solutions","role_family":"Solutions","seniority":"senior","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"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":170000,"max":199000,"currency":"USD","period":"year","gross":null,"usd_annual":199000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"Anyscale","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"CI/CD","optional":false},{"name":"CoreWeave","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google GKE","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Ray","optional":false},{"name":"Terraform","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-06-24T16:56:53Z","employer_posted_date":"2026-06-24","last_verified_at":"2026-10-18T04:17:14Z","board_verified":true,"closed_at":null,"days_open":115,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":115},"description":"About Anyscale\nAtAnyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializingRay, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies likeOpenAI,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 byAndreessen Horowitz, NEA, and Addition with $250+ million raised to date.\nAbout the role\nThe Customer Engineer will play a crucial role in the customers’ post-sale journey - helping them to onboard, adopt and grow on Anyscale, troubleshooting and resolving open customer tickets and driving consumption.\nAnyscale is an ever evolving platform and hence will require close co-ordination with our engineering teams to debug complex issues. This is an exciting role for those who are technically curious and passionate about ML/AI, LLM, vLLM and the role of AI in next generation applications. It’s an opportunity to make a significant impact in a collaborative, fast-paced environment while building a new segment in this space.\nIn this role, you’ll be able to\nResolve customer issues and help in their successful adoption of Anyscale platform\n\nBe a technical advisor, and internal champion for our key customers\n\nOwn customer issues end-to-end, from troubleshooting, triaging, escalations and eventual resolution\n\nParticipate in our follow-the-sun customer support model to ensure continuity in resolving high priority tickets\n\nKeep track of open customer bugs and feature requests to influence prioritization and provide timely customer updates upon resolution\n\nContribute towards improvement of internal tools and documentation of playbooks, guides and best practices etc. based on observed patterns\n\nHabitually provide feedback and collaborate cross-functionally with product and engineering teams to address customer issues with a focus on improving the product experience\n\nBuild and maintain strong relationships with technical stakeholders within customer accounts\n\nQualifications\n7+ years of experience in a Machine Learning role in a dynamic, fast-paced, startup-like environment\n\nStrong organizational skills and ability to manage multiple customer needs simultaneously\n\nProficient at developing data pipelines for training, fine-tuning and inference/serving of LLMs\n\nExperience running and optimizing infrastructure for distributed ML workloads on the major cloud platforms (AWS/EKS, GCP/GKE or Azure/AKS)\n\nExcellent communication and interpersonal skills.\n\nStrong sense of ownership, self-motivation and eagerness to acquire new skills and do new things\n\nWillingness to up-level the knowledge and skills of your peers through mentorship, trainings and shadowing\n\nBonus\nExperience with Ray\n\nKnowledge of MLOps platforms\n\nKnowledge of container orchestration platforms (e.g., Kubernetes), infrastructure as code (e.g. Terraform), CI/CD tools (e.g. Github Actions)\n\nWhy Anyscale\nWe're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms\n\nOur tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise\n\nWe're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date\n\nRecent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments\n\nCompetitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)\n\nWe offer flexible time off, paid parental leave, and mental health support\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":4296,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible time off","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["MLOps","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-06-24T16:56:53Z"}],"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":1}],"liveness":{"score":26,"band":"fade","label":"Fading","p_open":1,"p_active":0.732,"p_room":0.36,"age_days":114,"expected_fill_days":68,"reasons":["conf:3","velocity","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":199000,"is_top_pay":true},"html_url":"https://alion.io/job/anyscale-machine-learning-engineer-customer-engineering","json_url":"https://alion.io/job/anyscale-machine-learning-engineer-customer-engineering.json","meta":{"generated_at":"2026-10-18T06:14:54Z","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":9382,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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-machine-learning-engineer-customer-engineering"},{"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-machine-learning-engineer-customer-engineering"},{"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-machine-learning-engineer-customer-engineering"},{"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-machine-learning-engineer-customer-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fanyscale-machine-learning-engineer-customer-engineering"}]}