Senior Software Engineer – Health Agents
| Company | DeepMind |
|---|---|
| Location | Mountain View, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s or PhD in Computer Science or equivalent practical experience.
- 8+ years in research/engineering
- Proven ability to deploy AI solutions into real-world products.
- Python proficiency, especially for machine learning within the Google ecosystem.
- Deep expertise in LLMs, VLMs, and multimodality.
- Ability to conduct, analyze, and report large scale experiments and ablations.
- Writing high-quality, well-tested, and maintainable code.
- Leading in cross-functional, multi-disciplinary environments.
- Designing complex software systems with thoughtful trade-offs.
Responsibilities
- Conduct fundamental research: Invent effective approaches for unlocking advanced medical understanding and reasoning capabilities in Gemini models and Agents.
- Contribute to research infrastructure: Help develop and maintain infrastructure to support large scale experimentation and evaluation of modern posttraining approaches.
- Develop agentic systems: Leverage multi-agent systems, planning and reasoning techniques, tool use, memory and personalization.
- Conduct large scale experiments and studies and publish high quality results and reports.
- Model Integration: Help translate research results into product impact working closely with Gemini and Bard teams.
Preferred Qualifications
- Expertise using RL for LLMs.
- Experience applying AI in the Health or Medical domains.
- Broad and deep familiarity with generative AI technologies and industry-standard APIs.
- Experience developing agentic capabilities (e.g., Tools, Memory, Planning, Multimodality).
- Python readability.