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Machine Learning Engineer - Life Sciences

Requirements
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### Must have:

### - Enrolled in or have completed a degree in computer science, artificial intelligence, or a related field - Strong foundation in computer science and machine learning fundamentals - Comfortable programming in Python - Familiar with deep learning frameworks - Capable of writing clean and efficient code - Strong problem-solving skills and curiosity - Interest in life sciences - Familiarity with large language models and transformer architectures (preferred) - Experience with GPU workload profiling, deep learning system optimization, model compression techniques, or distributed inference (preferred) - Contributions to open-source machine learning projects (plus)

Responsibilities:
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- Improve the speed and efficiency of biological AI models for protein folding, protein design, and large foundation modeling - Profile inference bottlenecks in selected biological models - Implement and test optimization techniques such as quantization, pruning, and distillation - Explore efficient attention mechanisms and architecture-level improvements - Build and benchmark optimized inference pipelines - Evaluate trade-offs between speed, memory usage, and accuracy - Write clean, well-documented experimental code - Share results and provide practical recommendations for deployment
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Company:
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At Nebius, we provide a unique opportunity through our 3-6 month Early Talent Program in Amsterdam, specifically designed for current university students, recent graduates, and early career professionals. We offer a dynamic and collaborative work environment that values initiative, innovation, and continuous learning. Participants will receive mentorship from experienced professionals in AI, machine learning, and cloud infrastructure while gaining hands-on experience with real customer workloads and production systems. High-performing participants may have the chance to be considered for full-time roles after completing the program. If youre eager to advance machine learning in life sciences and contribute to making powerful biological AI models more efficient and usable, this program is an excellent beginning for a meaningful career.
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Machine Learning Engineer - Life Sciences

Bedrijf:
Nebius
Gemeente:
Amsterdam Airport Schiphol
Contracttype: 
Voltijds, Vast contract
Categorieën: 
Machine Learning Engineer, System, Productie, Python Developer, Piping Engineer
Opleidingsniveau: 
Master
Gepubliceerd:
03.06.2026
Deel nu: