Research Engineer, Gemma for Foundational Research

Mountain View, CA

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.

Snapshot

Our team is a small, collaborative research engineering team based in Mountain View, California, specializing in the development of accessible and highly-usable foundational models + infrastructure. Our primary aim is to power and accelerate the research being done at Google DeepMind by developing highly-usable infrastructure and tools. We are dedicated to developing solutions that meet researcher needs, provide scalable + highly-usable infrastructure, and simplify and accelerate LLM research across the broad portfolio of GDM projects. 

About us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The role

As a Research Engineer, you will develop software to advance cutting-edge research ideas. You will collaborate closely with our team of Research Scientists and Research Engineers to understand and unblock every step of the research process - from ideation, to early prototyping and validation, to publication and/or integration with products. You will develop key software and infrastructure powering research, and will become a go-to expert in the tools and systems for LLM research. This is a unique opportunity to have horizontal impact across the many research areas that make up the GDM project portfolio, and to accelerate the development of SOTA LLM research.

Key responsibilities

We are looking for a research engineer who is interested in contributing to core code, tools, and infrastructure that enables and is close to LLM research. 

• Develop software for the research community, supporting immediate stakeholders in GDM, while keeping an eye out for possible contributions to the broader community (3P ecosystem, Jax, etc.) 
• Contribute to and drive major efforts across research codebases, including working with researchers directly, working with product teams and senior engineers to debug and optimize code, and to add new research capabilities. 
• Become a go-to expert in the tools and systems for research, e.g. Gemma, Jax, Data Preprocessing, etc. 
• Write documentation and tutorials for a diverse audience including Googlers, interns + student researchers, and possibly the external community. 

About you

In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:

• Experience with Python, JAX, LLM datasets/benchmarks/metrics, etc.
• Ability to independently and quickly develop research or product prototypes.
• Ability to communicate technical concepts clearly and simply to a broad audience. 
• Excellent collaboration skills.

In addition, the following would be an advantage: 

• Experience with the research lifecycle, including possibly a published paper or two.
• Experience with Google research infrastructure, including Jax, Gemma, etc.
• Research experience with LLMs. 

The US base salary range for this full-time position is between $182,000 - $215,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: December 13th, 2024

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