{"id":2242743,"url":"https://alion.io/job/nebius-ml-solution-architect-early-talent","title":"ML Solution Architect (Early Talent)","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":78,"open_postings":131,"ghost_share":0,"stale_share":0.87,"repost_share":0,"time_to_fill_p50_days":38,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","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":null,"salary_estimate":{"min_usd":171000,"max_usd":326000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":312},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Transformers","optional":false},{"name":"AI Agents","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"Anthropic","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"Flask","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangSmith","optional":true},{"name":"OpenAI","optional":true},{"name":"Quantization","optional":true},{"name":"SGLang","optional":true},{"name":"smolagents","optional":true},{"name":"TensorRT","optional":true},{"name":"TensorRT-LLM","optional":true},{"name":"Vertex AI","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-06-17T17:38:09Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-13T09:40:11Z","board_verified":true,"closed_at":null,"days_open":117,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":117},"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.\nSummary:\nLocation: Remote from USA\nDuration: 3 months\nCompensation: Paid\nEligibility: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist\nWork authorization: permitted to work in the job’s location\n The role \nWe're looking for an ML Solutions Architect (Early Career) to join the team behind Nebius Token Factory's serverless inference and fine-tuning platform for open-source LLMs. Working alongside senior Solutions Architects, you'll take on real technical work - building and testing LLM-based solutions, benchmarking, and inference optimization - and learn how scalable AI applications are built and tuned on our platform, in close collaboration with our backend team.\nThis is a hands-on learning role with close mentorship from senior SAs. Strong performers will be considered for a full-time Solutions Architect position at the end of the program.\nThis is a paid temporary contract, open to students and recent graduates. You're welcome to work remotely from any timezone.\nYour responsibilities: \nHelp build and test LLM-based solutions and applications using Token Factory's inference services, including multimodal models (text, vision, audio). \n\nAssist senior SAs with prompt engineering, model selection, benchmarking, and inference optimization. \n\nRun performance and quality experiments to support proof-of-concept work. \n\nContribute to internal tooling and automation that improves how the SA team delivers. \n\nMust-haves: \nCurrently pursuing or recently completed a BSc/MSc/PhD in Computer Science, Machine Learning, or a related field. \n\nStrong Python programming skills. \n\nHands-on generative AI experience, including with common ML frameworks (e.g., PyTorch, Transformers). \n\nStrong communication skills, with a willingness to explain technical concepts to diverse audiences. \n\nNice-to-haves: \nExperience deploying/serving LLMs with vLLM, SGLang, or TensorRT-LLM. \n\nFamiliarity with inference optimization techniques such as quantization, batching, caching, and routing. \n\nKnowledge of model architectures and fine-tuning approaches. \n\nContributions to open-source ML/AI projects. \n\nPreferred technical stack: \nProgramming Languages - Python. \n\nML Frameworks and Libraries - vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI/Anthropic SDKs. \n\nFrameworks for Agentic Pipelines - Langchain / Langsmith / smolagents / equivalent. \n\nAPI and Web Frameworks - FastAPI, Flask. \n\nMLOps and DevOps tools - Kubernetes (K8s), Docker, Git. \n\nCloud Platforms - AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML). \n\nKey employee benefits in the US:\nHealth insurance: 100% company-paid medical, dental, and vision coverage for employees and families.\n\n401(k) plan: Up to 4% company match with immediate vesting.\n\nParental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.\n\nRemote work reimbursement: Up to $85/month for mobile and internet.\n\nDisability & life insurance: Company-paid short-term, long-term and life insurance coverage.\n\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$102—$126 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":5263,"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":["Health insurance","Insurance coverage","Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","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":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.352,"p_room":0.28,"age_days":117,"expected_fill_days":38,"reasons":["conf:0","stale_co","win:tail","crowd:brand"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/nebius-ml-solution-architect-early-talent","json_url":"https://alion.io/job/nebius-ml-solution-architect-early-talent.json","meta":{"generated_at":"2026-10-13T10:49:50Z","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":16670,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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-ml-solution-architect-early-talent"},{"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-ml-solution-architect-early-talent"},{"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-ml-solution-architect-early-talent"},{"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-ml-solution-architect-early-talent\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnebius-ml-solution-architect-early-talent"}]}