remote
Staff Research Scientist, AI Safety - Biohub
Research Engineer
Lead cutting‑edge AI safety research, designing robust ML systems that accelerate biological discovery while ensuring ethical and secure deployment of frontier models.
About the role
Key Responsibilities
- Design and implement safety‑aware machine learning pipelines for large‑scale biological datasets.
- Develop and evaluate reinforcement learning agents with formal safety guarantees.
- Collaborate with computational biology teams to integrate AI models into experimental workflows.
- Publish findings in top AI and bioinformatics venues and present at internal and external conferences.
- Mentor junior researchers and contribute to open‑source safety toolkits.
Requirements
- PhD in Computer Science, Machine Learning, or related field with a focus on AI safety.
- Proven experience in deep learning frameworks (PyTorch, TensorFlow) and Python programming.
- Strong background in reinforcement learning, formal verification, or risk assessment for AI systems.
- Excellent communication skills and a track record of publishing high‑impact research.
- Passion for applying AI to solve complex biological problems.
Skills
machine learningdeep learningreinforcement learningpythonpytorch