ML Solution Architect
Posted 17 Jun 2026
Advertised as “ML Solution Architect (Early Talent) ”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Contract
No salary listed for this role.
Field of studyComputer Science, Machine learning (or related)
Study levelBachelor's or higher
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.
Summary:
Location: Remote from USA
Duration: 3 months
Compensation: Paid
Eligibility: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist
Work authorization: permitted to work in the job’s location
**
The role**
We'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.
This 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.
This is a paid temporary contract, open to students and recent graduates. You're welcome to work remotely from any timezone.
Your responsibilities:
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Help build and test LLM-based solutions and applications using Token Factory's inference services, including multimodal models (text, vision, audio).
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Assist senior SAs with prompt engineering, model selection, benchmarking, and inference optimization.
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Run performance and quality experiments to support proof-of-concept work.
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Contribute to internal tooling and automation that improves how the SA team delivers.
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