Machine Learning Software Engineer, Quality, Project Janus

Snapshot:

• Project Janus is a new product development in Gemini App team which leverages the world-leading Gemini model to deliver intelligent automation across web browsers, computers and beyond.


• We have a few important notes below:




• This is an in office role for MTV. At this time, we are not able to consider additional sites.


• To ensure an equitable process, we are not able to hold informational coffee chats. Please express interest in Grow and the recruiting team will contact you with next steps.


• Due to the volume of applications, we are requesting not to contact the hiring team directly.

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:

• Develop from scratch the next generation of AI technologies that empower Google users


• Work on Janus modeling and quality, including setting up evaluation set and infrastructure, agentic orchestration flow, prompt iteration, context engineering, autorater, training data collection, working with One Recipe team on iterating on new version of Gemini model through SFT / RL techniques.


• Regularly read research and industrial ideas in this area and apply to our real use case.


• Proactively participate in code reviews, enforce development best practices, and share your knowledge to raise the team's overall technical expertise.


• Work in a fast paced small "whatever it takes" team environment to rapidly develop a new product

About You:

We are looking for experienced, outstanding, highly motivated ML engineers to work on the new product

You could be a great match if you:

• Have hands-on experience on LLM quality iteration.


• Have experience with building real AI systems, especially actual agents for products


• Have a strong learning mindset, and eager to learn and apply new technologies to real work.


• Are excited by and experienced with going “zero to one” - creating something new, starting from a set of broad ideas in a small team environment


• Are highly cross-functional and able to work collaboratively across different PAs.


• Are ready to roll up your sleeves and “do the work” within a small-team environment.


• Excel at breaking down abstract Critical User Journeys into actionable ML tasks, quickly creating the right evaluation and SFT datasets to improve the model.


• Bring a deep curiosity for model behavior, excelling at turning detailed analysis of outputs into targeted data and quality enhancements.

What makes this job unique at Google?

• A challenging set of Applied ML problems with many unsolved and open-ended questions. In building user-facing products, you will uncover new and challenging research problems to be addressed.


• An opportunity to build something new, rather than an addition to an existing product.


• An opportunity to help grow a team from scratch.


• The possibility of high impact for Google by creating new products that unlock new kinds of value from AI for our users

The US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: October 24, 2025

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.