Biosecurity ML Research Engineer

Google LLC; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Google DeepMind in London seeks a Research Engineer for Biosecurity to blend frontier ML with software engineering, building tools, models, and evaluation methods to mitigate biological risks. You will collaborate with research scientists and engineers to shape the roadmap, focusing on data curation, scaling, infrastructure, and model development.

This role sits at the intersection of biology and AI, contributing to publications, prototypes, and real-world AI safety work within the Biosecurity

Qualifications

• Bachelor’s degree in Computer Science, Machine Learning, Computational Biology, or a related field, or equivalent practical experience.
• 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow, Pytorch).
• PhD degree in Computer Science, Machine Learning, Computational Biology, or a related field, or equivalent practical experience.
• Experience applying deep learning models to biological data (such as functional genomics or protein sequence data).
• Experience working with life science data, such as in bioinformatics or health informatics.
• Familiarity with emerging topics in biosecurity, such as metagenomic surveillance, de novo pathogen design, and LLM-based uplift.
• Ability to identify, breakdown, and solve ambiguous and complex process and technical problems that span across many teams and organizations.

Responsibilities

• Design and implement novel algorithms and machine-learning (ML) methods to address core biosecurity research questions.
• Contribute to pioneering research on AI and biosecurity, supporting scientific publications and product development aligned with the Biosecurity initiative mission.
• Collaborate with research scientists and engineers across the initiative and Science and Strategic Initiatives unit to prototype, experiment, and scale AI research using software engineering best practices.
• Contribute to the design of biological datasets, evaluation methodologies, and infrastructure required to pursue novel research hypotheses.
• Synthesize complex research findings into clear, actionable reports and presentations for both technical and non-technical stakeholders, delivered through written documentation and verbal briefings.

Skills

ML experience

Education

Bachelor’s degree in CS/ML/Computational Biology or related field

PhD in CS/ML/Computational Biology or related field

Tools

TensorFlow

PyTorch

Job description

Google DeepMind in London seeks a Research Engineer for Biosecurity to blend frontier ML with software engineering, building tools, models, and evaluation methods to mitigate biological risks. You will collaborate with research scientists and engineers to shape the roadmap, focusing on data curation, scaling, infrastructure, and model development.

This role sits at the intersection of biology and AI, contributing to publications, prototypes, and real-world AI safety work within the Biosecurity