onsite
Senior/Principal AI Research Scientist
Research Engineer
Lead the design and implementation of cutting‑edge AI models and algorithms that accelerate scientific discovery, leveraging deep learning frameworks, large language models, and reinforcement learning techniques.
About the role
Key Responsibilities
- Design, develop, and evaluate novel machine‑learning models and algorithms tailored for scientific research acceleration.
- Lead end‑to‑end research projects, from hypothesis formulation through prototyping, experimentation, and scaling.
- Collaborate with cross‑functional teams of biologists, chemists, and engineers to integrate AI solutions into autonomous scientific workflows.
- Publish high‑impact research findings in top conferences and journals, and translate results into production‑ready code.
- Mentor junior researchers and contribute to the strategic roadmap for AI‑driven scientific discovery.
Requirements
- Ph.D. in Computer Science, Machine Learning, Computational Biology, or a related field with a strong publication record.
- 5+ years of hands‑on experience building and deploying deep learning models using frameworks such as PyTorch or TensorFlow.
- Expertise in large language models, reinforcement learning, or other advanced AI techniques applied to scientific domains.
- Proficiency in Python and a solid understanding of software engineering best practices for reproducible research.
- Demonstrated ability to work collaboratively in interdisciplinary teams and communicate complex technical concepts to non‑technical stakeholders.
Skills
pythonmachine learningdeep learningpytorchtensorflowreinforcement learning