ML Solutions Architect (Early Career) – Remote

Nebius; United States; On-site; < USD 1,000; Full time

Benefits offered by this job

100% company‑paid health insurance

401(k) plan with company match

20 weeks paid parental leave

Remote work reimbursement

Disability & life insurance

Job summary

Nebius is seeking an ML Solutions Architect (Early Career) to join their team. This remote role offers a unique opportunity to build and test LLM-based solutions under mentorship from senior architects. Ideal for current students or recent graduates.

The position is temporary but paid, allowing candidates to work on impactful AI projects while gaining hands-on experience. Strong programming skills in Python and familiarity with ML frameworks are essential.

Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Machine Learning, or a related field.
• Strong Python programming skills are crucial.
• Hands-on experience with generative AI and common ML frameworks is required.

Responsibilities

• Help build and test LLM-based solutions and applications.
• Assist senior Solutions Architects with prompt engineering and model selection.
• Run performance and quality experiments for proof‑of‑concept work.

Skills

Python programming skills

Hands‑on generative AI experience

Strong communication skills

Education

BSc/MSc/PhD in Computer Science or related field

Tools

PyTorch

Transformers

FastAPI

Docker

Job description

Nebius is seeking an ML Solutions Architect (Early Career) to join their team. This remote role offers a unique opportunity to build and test LLM-based solutions under mentorship from senior architects. Ideal for current students or recent graduates.

The position is temporary but paid, allowing candidates to work on impactful AI projects while gaining hands-on experience. Strong programming skills in Python and familiarity with ML frameworks are essential.