Machine Learning Research Engineer/Scientist at Boltz

Location: London, England
Type: Full-time
Posted: Jan 6, 2026

Description

Boltz is seeking an ML Research Engineer/Scientist to develop advanced machine learning models and algorithms for AI-powered molecular modeling tools. The role involves collaborating with an interdisciplinary team to design new model architectures, create high-quality datasets, and establish rigorous evaluation methods. This position focuses on pushing the boundaries of AI in molecular modeling and drug discovery.

Required Skills

Deep Learning
Machine Learning
PyTorch
Python Ecosystem

Additional Information

Required Previous Experiences: 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.
Preferred Qualifications: 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.