ML Solution Architect (Early Talent)
Nebius — United States · Remote · Junior
Role description
Role Overview
Join the team behind Nebius Token Factory's serverless inference and fine-tuning platform for open-source LLMs. Work alongside senior Solutions Architects to build and test LLM-based solutions, benchmarking, and inference optimization.
What You Will Do
Help build and test LLM-based solutions and applications using Token Factory's inference services, assist senior SAs with prompt engineering, model selection, benchmarking, and inference optimization, run performance and quality experiments, and contribute to internal tooling and automation.
Why It Might Be a Fit
Strong performers will be considered for a full-time Solutions Architect position at the end of the program. This is a hands-on learning role with close mentorship from senior SAs.
Requirements
- Currently pursuing or recently completed a BSc/MSc/PhD in Computer Science, Machine Learning, or a related field
- Strong Python programming skills
- Hands-on generative AI experience, including with common ML frameworks (e.g., PyTorch, Transformers)
- Strong communication skills, with a willingness to explain technical concepts to diverse audiences
Benefits
- 100% company-paid medical, dental, and vision coverage for employees and families
- Up to 4% company match with immediate vesting 401(k) plan
- 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers parental leave
- Up to $85/month for mobile and internet remote work reimbursement
- Company-paid short-term, long-term and life insurance coverage disability & life insurance