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From the employer's careers site First seen 28 Oct 2026

ML Solution Architect (Early Talent)

Nebius United States Remote entry temporary

Salary

$102-$126 USD per year

Apply on Nebius

Description

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. You will work alongside senior Solutions Architects, taking 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.

Responsibilities:

  • Help build and test LLM-based solutions and applications using Token Factory's inference services, including multimodal models (text, vision, audio).
  • Assist senior SAs with prompt engineering, model selection, benchmarking, and inference optimization.
  • Run performance and quality experiments to support proof-of-concept work.
  • Contribute to internal tooling and automation that improves how the SA team delivers.

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.

Nice-to-haves:

  • Experience deploying/serving LLMs with vLLM, SGLang, or TensorRT-LLM.
  • Familiarity with inference optimization techniques such as quantization, batching, caching, and routing.
  • Knowledge of model architectures and fine-tuning approaches.
  • Contributions to open-source ML/AI projects.

Preferred technical stack:

  • Programming Languages – Python.
  • ML Frameworks and Libraries – vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI/Anthropic SDKs.
  • Frameworks for Agentic Pipelines – Langchain / Langsmith / smolagents / equivalent.
  • API and Web Frameworks – FastAPI, Flask.
  • MLOps and DevOps tools – Kubernetes (K8s), Docker, Git.
  • Cloud Platforms – AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML).

Benefits:

  • Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
  • 401(k) plan: Up to 4% company match with immediate vesting.
  • Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
  • Remote work reimbursement: Up to $85/month for mobile and internet.
  • Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

Skills

Required

Nice to have

  • vLLM
  • SGLang
  • TensorRT-LLM
  • Inference Optimization
  • Model Architectures
  • Fine-tuning Approaches
  • Open-source ML/AI projects

Ready to apply?

You apply with the employer directly. Their original posting is here: https://job-boards.greenhouse.io/nebius/jobs/4883829101

Apply on Nebius