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ML Solution Architect (Early Talent)
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Nebius·United States·17 июня

ML Solution Architect (Early Talent)

🏢 ОфисMiddleПолная занятость
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Наша компания

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.

О роли

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

Чем предстоит заниматься

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
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

Наши требования

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

Мы предлагаем

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
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
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
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law

Дополнительно

Location: Remote from USA
Duration: 3 months
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)
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Pay Transparency
Base Compensation Range
$102—$126 USD
N
Nebius
United States

ГрейдMiddle
ЗанятостьПолная занятость
РегионСША
ФорматОфис
ИсточникСкрыто
Опубликовано17 июня
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