ML Engineer - Life Sciences (Early Talent)
About this 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.
Responsibilities
- Profile inference bottlenecks in selected biological models
- Implement and test optimization techniques (quantization, pruning, distillation)
- Explore efficient attention and architecture-level improvements
- Build and benchmark optimized inference pipelines
- Evaluate speed, memory, and accuracy trade-offs
- Write clean, well-documented experimental code
- Share results and practical deployment recommendations
- Enrollment in or completion of a degree in computer science, AI, or a related field
- Strong knowledge of computer science and machine learning fundamentals
- Experience with Python and familiarity with deep learning frameworks
- Ability to write clean, efficient code
- Strong problem-solving skills and a willingness to learn quickly
- Interest in life sciences
- Familiarity with large language models and transformer architectures
- Experience profiling GPU workloads and optimizing deep learning systems
Requirements
- Experience with model compression techniques (quantization, pruning, distillation)
- Experience working with large-scale models or distributed inference
- Contributions to open-source ML projects
- Competitive salary and comprehensive benefits package
- Mentorship from experienced AI, ML, and cloud infrastructure professionals
- Hands-on experience with real customer workloads and production systems
- Opportunities for professional growth within Nebius
- A dynamic and collaborative work environment that values initiative and innovation
- Opportunity to be considered for a full-time role after the Early Talent Program
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
Nice to have
- Familiarity with large language models and transformer architectures
- Experience profiling GPU workloads and optimizing deep learning systems
- Experience with model compression techniques (quantization, pruning, distillation)
- Experience working with large-scale models or distributed inference
- Contributions to open-source ML projects
About Nebius Group
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: