13 hours ago
London, United KingdomMid Level
Responsibilities
- Design and implement novel algorithms and machine-learning methods for biosecurity research questions.
- Contribute to AI and biosecurity research, scientific publications, and aligned product development.
- Collaborate with research scientists and engineers to prototype, experiment, and scale AI research using software engineering practices.
- Design biological datasets, evaluation methodologies, and infrastructure for novel research hypotheses.
- Synthesize research findings into reports, presentations, documentation, and verbal briefings for technical and non-technical stakeholders.
Requirements
- Bachelor’s degree in Computer Science, Machine Learning, Computational Biology, or a related field, or equivalent practical experience.
- At least 2 years of experience with machine-learning algorithms and tools, such as TensorFlow and PyTorch.
- Preferred: PhD in Computer Science, Machine Learning, Computational Biology, or a related field, or equivalent practical experience.
- Preferred: experience applying deep-learning models to biological data, including functional genomics or protein sequence data.
- Preferred: experience with life science data, such as bioinformatics or health informatics data.
- Preferred: familiarity with biosecurity topics including metagenomic surveillance, de novo pathogen design, and LLM-based uplift.
- Ability to solve ambiguous and complex technical and process problems spanning multiple teams and organizations.
Tech Stack
PyTorchTensorFlow
Categories
AI ResearchML Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.