Research Engineer, Project Agera
About The Position
Our team is a small, agile group of hands-on builders at Google DeepMind. Our mission is to accelerate AI innovation by translating state-of-the-art research into tangible, high-impact products. We are the engineering bridge between fundamental research and practical application, working across project boundaries to initiate, prototype, and co-lead Google's most ambitious AI initiatives. If you are eager to thrive on turning ambiguous, complex problems into cutting-edge solutions in foundational AI or its applications, you will be at home here. What we are working on: Cutting edge exploration of AGI, including how to use knowledge / memory to enhance LLM, and foundational AI tooling: Engineer scalable, reusable tools and libraries for building better and more powerful AI-driven products. You will engineer cutting-edge solutions with AI to further strength AI: Balance rapid, exploratory prototyping with the discipline to write clean, scalable code, and are adept at charting a clear path forward through complex and ambiguous problem spaces. Apply Software Engineering and AI/ML principles to solve real-world problems in domains like search, ranking, deep learning, or large-scale distributed systems (not necessarily to have all of them). Keep an innate curiosity and a drive to invent, with a passion for learning and applying cutting-edge technologies (including GenAI) through close partnership with world-class research and product teams.
Requirements
- Willingness to work on ambiguous, ill-defined problems, refining final goals as new information is learned.
- Deep understanding of Machine Learning, Machine Learning Algorithms
- Industrial experience with Generative AI, Generative AI Agent
- Python expert; familiar with C++
Nice To Haves
- A proven track record of ability to solve exceptionally complex problems (e.g. math and programming competitions or developing novel algorithms)
- Exceptional hacking skills: ability to quickly prototype and iterate on complex systems.
- Quick learner with strong analytical and coding skills.
- Willingness to learn multiple tools and codebases.
- High motivation: a passion for working on real problems, a determination to overcome obstacles, and the ability to work on any task (including less exciting ones) to get the job done.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
