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Senior Applied AI Solutions Engineer

Nebius

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What solutions roles keep asking for: AWS (32%), Python (19%), Customer success (15%), Azure (14%), GCP (13%) — counted across their open postings here.

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Preparing for this interview

Interviews for solutions roles keep coming back to AWS, Python, Customer success, Azure. Practise those questions before you sit with Nebius.

Questions you are likely to be asked

  1. Why do you want to join Nebius?
  2. What is your experience with MLOps? Tell me one thing you learned the hard way.
  3. How would you explain your model's result to someone who is not technical?
  4. What would you check first if a model's accuracy dropped after going live?
  5. When would you not use machine learning for a problem?

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About Nebius:

Nebius 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.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

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:
We expect you to have:
It will be an added bonus if you have:
Who thrives here
You'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.
 
What we offer
We'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!

Pay Transparency

We 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.

Base Compensation Range
$200—$350,000 USD

Benefits & Perks:

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams

What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI 

Equal Opportunity Statement:

Nebius 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.

Applicants 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. 

If you need accommodations during the application process, please let us know.

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Listed on greenhouse · posted 2026-03-16. ApplySarthi collects openings and links to application pages; the role is advertised by Nebius, not by us.