{"id":2242975,"url":"https://alion.io/job/nebius-senior-applied-ai-solutions-engineer","title":"Senior Applied AI Solutions Engineer","company":{"id":6364,"name":"Nebius","domain":"nebius.com","url":"https://alion.io/company/nebius","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":80,"open_postings":127,"ghost_share":0,"stale_share":0.787,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Amsterdam, Netherlands","Netherlands","United States"],"countries":["NL","US"],"hiring_countries":["US","NL"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":158000,"max_usd":298000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":407},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"MLFlow","optional":false},{"name":"Physical AI","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Kubeflow","optional":true},{"name":"Metaflow","optional":true},{"name":"NLP","optional":true},{"name":"Ray","optional":true}],"status":"live","first_seen_at":"2026-03-16T13:38:39Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-14T14:11:01Z","board_verified":true,"closed_at":null,"days_open":212,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":211},"description":"About Nebius:\nNebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.\nBuilt by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.\nListed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.\nThe role\nAI is moving faster than any single product team can track. Nebius is expanding across serverless, databases, MLflow, MLOps, Physical AI, and HCLS - and customers arriving with complex, real-world ML workloads need more than documentation. This role exists to close that gap: someone who can prototype what's possible, accelerate customers through their first 90 days, and feed hard-won field insight back into the product roadmap.\nThis role sits at the intersection of deep ML engineering and product impact. You'll spend roughly half your time in the field - helping new customers move from POC to production, running technical onboarding, and working hands-on through their ML stack. The other half you'll spend building - prototyping applied AI use cases that show what's possible on the platform, going deep on emerging techniques before they're mainstream, and turning that expertise into concrete product direction.\nThis is not a presales role. You get your hands dirty every day.\nWhat success looks like in 12 months\nThe product and sales teams have a library of working, polished demos they reach for on calls\nEnterprise customers you've touched have meaningfully faster time-to-value than those you haven't\nAt least 2-3 product changes were shipped because of feedback you originated\nThe team understands where applied AI is heading 6-12 months from now, partly because you told them\nYour responsibilities will include:\nBuild prototypes and demos across the product portfolio - serverless inference, databases, MLflow, MLOps, and vertical use cases in Physical AI and HCLS - that become assets for sales, product, and engineering teams\nSupport new customers hands-on through POC design, technical onboarding, and validation; act as the bridge between their ML team and the platform during the critical first months\nGo deep on emerging applied AI - new training techniques, inference optimizations, agentic architectures, new frameworks - and turn findings into working prototypes, writeups, and product recommendations\nFeed the product roadmap with specific, grounded feedback; be the voice of \"here's what broke in three customer POCs last month and here's what needs to change\"\nDevelop reusable technical assets - notebooks, reference architectures, benchmark results - that reduce onboarding friction at scale\nWe expect you to have:\nYou've fine-tuned large models, debugged distributed training jobs, built production RAG or agentic pipelines, and optimized inference on GPU infrastructure - not just read about it\nYou're fluent in the modern ML stack: PyTorch, HuggingFace, CUDA fundamentals, Kubernetes for ML, MLflow or equivalent, vector databases\nYou've worked with enterprise ML teams - whether as a solutions engineer, customer engineer, or an ML engineer who collaborated closely with customers\nYou read papers and implement them - not for credit, but because it's how you stay sharp\nYou communicate with calibration: you can explain activation checkpointing tradeoffs to an ML engineer in the morning and the cost implication to a CTO in the afternoon\nIt will be an added bonus if you have:\nExperience in any of our vertical domains: Physical AI / robotics / simulation, HCLS (drug discovery, medical imaging, clinical NLP), or enterprise AI application development\nFamiliarity with MLOps at scale (Kubeflow, Metaflow, Argo, Ray)\nPrior work at a cloud provider or AI infrastructure company\nYou've shared technical work publicly - notebooks, talks, blog posts that people actually use\nWho thrives here\nYou'll thrive here if you're energized by variety - one day deep in a customer's MLOps stack, the next building a demo from scratch. You want your technical depth to influence product decisions, not just close deals.\nWhat we offer\nCompetitive salary and comprehensive benefits package.\nOpportunities for professional growth within Nebius.\nFlexible working arrangements.\nA dynamic and collaborative work environment that values initiative and innovation.\nWe're growing and expanding our products every day. If you're up to the challenge and are excited about AI and ML as much as we are, join us!\nPay Transparency\nWe offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.\nBase Compensation Range\n$200—$350,000 USD\nBenefits & Perks:\nCompetitive compensation\nCareer growth and learning opportunities\nFlexibility and ownership\nCollaborative and innovative culture\nOpportunity to work on impactful AI projects\nInternational environment and talented teams\nWhat's it like to work at Nebius:\nFast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI \nEqual Opportunity Statement:\nNebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.\nApplicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. \nIf you need accommodations during the application process, please let us know.","description_format":"text","description_chars":6364,"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":["Flexible schedule"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Netherlands","iso":"NL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Commerce","Education","Data Centers & Colocation"],"lifecycle":[{"event":"open","at":"2026-10-11T01:05:42Z"}],"visa":[],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.106,"p_room":0.28,"age_days":211,"expected_fill_days":41,"reasons":["conf:0","stale_co","win:tail","crowd:brand"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/nebius-senior-applied-ai-solutions-engineer","json_url":"https://alion.io/job/nebius-senior-applied-ai-solutions-engineer.json","meta":{"generated_at":"2026-10-14T15:37:00Z","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":19790,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":6364},"rest":"https://alion.io/mcp/rest/get_company?id=6364"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnebius-senior-applied-ai-solutions-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%2Fnebius-senior-applied-ai-solutions-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%2Fnebius-senior-applied-ai-solutions-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/nebius-senior-applied-ai-solutions-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnebius-senior-applied-ai-solutions-engineer"}]}