Senior ML Solutions Architect - Token Factory at Nebius

United StatesFull-timeToken FactoryPosted 15 days ago

About the Role

<div class="content-intro">About Nebius: 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.</div><h3>The role</h3> We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference platform for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement customized LLM-based solution and architect scalable AI applications using our served models, and working together with our backend team to improve our platform to match the clients' needs. Your responsibilities will include:  <ul> <li>Design and implement LLM-based solutions using Nebius Token Factory’s inference services to drive business value and support customer goals.</li> <li>Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models.</li> <li>Provide technical expertise in prompt engineering, RAG architectures, model selection, and inference optimization.</li> <li>Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap.</li> <li>Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency.</li> </ul> We expect you to have:  <ul> <li>5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI.</li> <li>Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches.</li> <li>Hands-on experience with: <ul> <li>Prompt engineering and LLM pipeline development, including evaluation.</li> <li>Agentic frameworks such as Langchain, Langsmith, smolagents, or equivalent.</li> <li>Vector databases and RAG implementation patterns.</li> <li>Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models.</li> </ul> </li> <li>Strong Python programming skills.</li> <li>Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences.</li> </ul> It will be an added bonus if you have:  <ul> <li>Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers).</li> <li>Familiarity with inference optimization techniques such as quantization, batching, caching, and routing.</li> <li>Work with multimodal AI models (e.g., vision-language, speech).</li> <li>Proficiency with DevOps tools (Docker, Kubernetes).</li> <li>Contributions to open-source ML/AI projects.</li> </ul> Preferred tooling: <ul> <li>Programming Languages– Python</li> <li>ML Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI/Anthropic SDKs</li> <li>Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent</li> <li>API and Web Frameworks– FastAPI, Flask</li> <li>MLOps and DevOps tools– Kubernetes (K8s), Docker, Git</li> <li>Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)</li> </ul> Key Employee Benefits: <ul> <li>Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.</li> <li>401(k) Plan: Up to 4% company match with immediate vesting.</li> <li>Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.</li> <li>Remote Work Reimbursement: Up to $85/month for mobile and internet.</li> <li>Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.</li> </ul> Compensation We offer competitive salaries, ranging from $225k - $315k OTE (On-Target Earnings) and equity based on your experience, skills, and location. Join Nebius Today!<div class="content-conclusion">Benefits & Perks: <ul> <li>Competitive compensation</li> <li>Career growth and learning opportunities</li> <li>Flexibility and work-life balance</li> <li>Collaborative and innovative culture</li> <li>Opportunity to work on impactful AI projects</li> <li>International environment and talented teams</li> </ul> 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.</div>

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