Snapshot
- Research Engineer focused on improving Gemini’s coding and SWE-agent capabilities
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.
Horizons is responsible for Gemini’s Code, Thinking, and Reasoning performance.
The Role
Key responsibilities:
- Design experiments to improve Gemini’s capabilities as a software engineer.
- Create evaluations to measure key software engineering capabilities.
- Responsibilities may include creating evaluations to measure Gemini’s capabilities as a software engineer, running RL experiments to improve them, and designing novel agent harnesses & agentic capabilities.
- Build infrastructure components necessary to facilitate research.
- Work with a cross-functional research & infrastructure team.
About You
This section can be viewed as your Minimum & Preferred Qualifications sections. Please be as specific as possible, as this will help ensure you generate a relevant candidate pipeline both internally and external from your posting.
In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:
Requirements:
- Understanding of LLMs & recent RL methodology
- Experience running ML experiments
- Experience developing LLM-based agents
In addition, the following would be an advantage:
- Systematic thinker and engineer who find joy in traversing the full stack.
- Positive, gritty technologist who can overcome ambiguity and pressure to deliver what is sought by users in a short time frame.
- Rigorous and meticulous analyst who will want nothing but the best datasets / experiments they can curate.
The US base salary range for this full-time position is between 141,000 USD - 202,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline: January 31, 2026
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy
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.
Top Skills
What We Do
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.
Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI).
Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.
We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
