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Nebius
Posted 80 days agoVerified live 1d ago

ML Solution Architect (Early Talent)

Brief overview

Remote
UndergradOr in progress
PythonGenerative AIPyTorchTransformersPrompt EngineeringModel SelectionBenchmarkingInference OptimizationvLLMSGLangTensorRT-LLMQuantizationBatchingCachingRoutingModel ArchitecturesFine-tuning

About the company

The Nebius AI Cloud brings powerful full-stack infrastructure for AI developers and practitioners across startups, enterprises and science institutes to build and deploy generative AI applications and rapidly deliver scientific breakthroughs by training and running ML models within a secure, high-performance, and cost-optimized cloud environment.

Job description

Summary

Nebius is leading a new era in cloud infrastructure for the global AI economy. They are seeking an ML Solutions Architect (Early Career) to assist in building and testing LLM-based solutions while collaborating closely with senior Solutions Architects.

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

Skills

  • 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
  • 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

Qualifications

Must Haves

  • 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

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.

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