ML Solution Architect (Early Talent)

Your 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. 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. 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). Key employee benefits in the US: 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. Pay Transparency 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. Base Compensation Range $102 — $126 USD Benefits & Perks: 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 What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.