Research Engineer, Health Agents

Mountain View, California, US

Snapshot

We are at the forefront of creating next-generation foundational and agentic capabilities for Health and Medicine. Our team drives the full lifecycle of innovation, from conducting fundamental research, scoping and prototyping, to development and deployment of solutions. We perform model training and tuning experiments, evaluate planning and reasoning approaches, develop multi-agent systems, and explore solutions for agentic memory and personalization. Join us as we advance the state of the art and positively impact the health and wellbeing of billions of people. 

About us

At Google DeepMind, we believe artificial intelligence has the potential to become one of humanity’s greatest inventions. Our diverse team of scientists, engineers, and machine learning experts is united in advancing AI for widespread public benefit and groundbreaking scientific discovery. Guided by a commitment to safety and ethics, we collaborate on critical challenges to ensure our technologies serve as a force for good.

The Role

Are you ready to shape the future of AI in Health and Medicine? We’re seeking an exceptional Software Engineer / Research Engineer to join our mission-driven team developing next-generation agentic systems and capabilities to dramatically improve human flourishing. This role focuses on research, development, and deployment of solutions providing advanced medical and health understanding and reasoning capabilities to Gemini and Agents.  

Key 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.

You’re a hands-on researcher and engineer with a passion for solving complex problems, blending fast prototyping with production-grade engineering. You excel in ambiguous environments, transforming high-level goals into iterative, demonstrable outcomes, through large collaborative efforts.

What We’re Looking For

  • Experience:
    • 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.
  • Technical Expertise:
    • 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.
  • Preferred Skills:
    • 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.

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At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

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