ML Solution Architect (Early Talent)
# ML Solution Architect (Early Talent) **Nebius** · United States · `Remote` · `Contractor` 💼 **Уровень роли:** `Entry-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[ML-Solutions-Architect]` `[Machine-Learning-Engineer]` `[AI-Solutions-Architect]` `[Early-Career-AI-ML]` `[AI-Infrastructure-Engineer]` `[AI-ML-Solutions-Architect]` `[AI-ML-Solutions-Engineer]` `[Machine-Learning-Solutions-Architect]` `[AI-Solution-Architect]` `[AI-ML-Technical-Architect]` `[Entry-Level-AI-Solutions-Engineer]` `[AI-Solutions-Architect-Jobs]` --- ### About the Role 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. Summary: Location : Remote from USA Duration : 3 months Compensation : 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 The role 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. 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. 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: 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. Originally posted on Himalayas
- ML-Solutions-Architect
- Machine-Learning-Engineer
- AI-Solutions-Architect
- Early-Career-AI-ML
- AI-Infrastructure-Engineer
- AI-ML-Solutions-Architect
- AI-ML-Solutions-Engineer
- Machine-Learning-Solutions-Architect
- AI-Solution-Architect
- AI-ML-Technical-Architect
- Entry-Level-AI-Solutions-Engineer
- AI-Solutions-Architect-Jobs
Наблюдалась 2026-10-16, впервые 2026-10-16, источник — Himalayas (JSON API).