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Nebius

ML Engineer - Life Sciences (Early Talent)

Nebius
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about 10 hours ago
Amsterdam, Netherlands
Intern / Entry Level

Responsibilities

  • Profile inference bottlenecks in selected biological models.
  • Implement and test optimization techniques such as quantization, pruning, and 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.

Requirements

  • 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.

Benefits

  • 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.

Tech Stack

Python

Categories

AI & MLData Science