Machine Learning Engineer

Senior or Staff Machine Learning Engineer | AI-Driven Cancer Research | | Ray & GCP

Salary: €85k - €120k+ Benefits

Location: Berlin - 2 days per week

Are you a Senior or Staff Machine Learning Engineer looking to apply your expertise in Ray and GCP to revolutionize AI-driven diagnostics? Join a fast-growing, well-funded startup spun out of one of Europe’s top medical research institutions, and help shape the future of biomedical AI.

Why Join?

• Work on cutting-edge AI models for cancer research and diagnostics
• $50M+ funding, backed by top-tier investors
• Join a world-class team of 100+ experts across Germany & US
• Flexible, hybrid work environment with learning & development budget

Key Responsibilities

• Architect and scale ML infrastructure with Ray & GCP for distributed model training and deployment
• Optimise and automate end-to-end ML pipelines for large-scale biomedical data processing
• Drive MLOps best practices, integrating Kubernetes, Prefect, and Airflow
• Work alongside top researchers, engineers, and industry leaders

What You’ll Need

• 8+ years in ML Engineering, with experience as a Staff Engineer or equivalent
• Deep expertise in Ray for distributed computing and GCP for cloud-native ML solutions
• Proficiency in Python, PyTorch, TensorFlow, and container orchestration (Kubernetes)
• Strong understanding of MLOps, model lifecycle management, and CI/CD pipelines

This is an exciting opportunity to drive technical innovation in a mission-driven company making a real impact in cancer research.

📩 Interested? Apply now or reach out for more details!