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ML Research Engineer/Scientist
Boltz
LondonOn-site5mo ago
- Employment
- Full-time
About the role
About Boltz
About the role
About you
Essentials:
- Extensive publication record in top-tier ML or life-science conferences and journals (NeurIPS, ICLR, ICML, Nature Methods, and related).
- Demonstrated strength in deep learning research and development, including designing new architectures, running rigorous experiments, and performing careful analysis.
- Strong hands-on experience with PyTorch and the scientific Python ecosystem (NumPy, SciPy, Pandas, etc.).
- Experience contributing to and maintaining deep-learning codebases, with a high bar for engineering quality, reproducibility, and testing.
Nice to have:
- Experience training, scaling, and evaluating large models on applied, real-world problems, including building reliable evaluation suites and diagnosing failure modes.
- Experience working in an interdisciplinary scientific environment, especially across ML, biology, chemistry, and physics.
- Familiarity with the tools, data formats and workflows commonly used in computational biology and chemistry.
What we offer
- Opportunity to drive outsized real-world impact by building tools that empower thousands of scientists across the industry.
- Work alongside one of the most talent-dense teams in the field.
- Significant ownership and independence, with responsibility for driving projects from concept to deployment.
- Highly competitive salary with substantial equity ownership.
Perks & benefits
- Equity Compensation
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