UC
Unknown company · Senior Applied AI Solutions Engineer
Summary
Senior Applied AI Solutions Engineer at Nebius (Nasdaq: NBIS), an Amsterdam-headquartered AI cloud company. You split time between hands-on customer enablement — technical onboarding and POC-to-production across their ML stack — and prototyping applied AI demos on serverless inference, databases, MLflow, and MLOps, feeding field insight into the product roadmap.
Amsterdam, Netherlands; Remote - Europe; Remote - United States Listed 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. The role AI 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. This 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. This is not a presales role. You get your hands dirty every day. What success looks like in 12 months - The product and sales teams have a library of working, polished demos they reach for on calls - Enterprise customers you've touched have meaningfully faster time-to-value than those you haven't - At least 2-3 product changes were shipped because of feedback you originated - The team understands where applied AI is heading 6-12 months from now, partly because you told them Your responsibilities will include: - Build 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, pr...