Machine Learning Software Engineer, Gemini

Snapshot

We are working on bringing capabilities and experiences from core Google Apps including Maps, YouTube, Flights, Hotels, and Photos into Gemini – all in service of making Gemini the best LLM-supercharged digital assistant there is. Our team of Applied ML Engineers are responsible for improving the quality and usefulness of our integrations, and building new agentic experiences powered by them.

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

In this role, you will work on bringing conversational, multimodal agentic experiences powered by “Core” Gemini Apps and Tools (Maps, YouTube, Flights, Hotels, Browse, Photos and more!) into Gemini and Gemini Live. We are looking for highly skilled Applied ML software engineers with LLM expertise. You should have experience building products based around AI models and slotting new capabilities into an end-to-end production stack.

This is a fast-paced role with aggressive deadlines, where you should be prepared to wear many hats and be ready to solve a wide range of exciting technical problems. Some of the things we are working on:

• Improving the model’s ability to reason through complex requests, call various tools to fulfill the user request, including complex scenarios like chaining multiple tools across multiple turns.
• Building new agentic experiences powered by our core tools (e.g. travel and concierge using Maps, Flights and Hotels, media discovery and understanding using YouTube, and more).
• Identifying gaps based on user feedback, and improving the model and/or working with partner frontend and backend teams to bring new capabilities from the underlying tools into Gemini.
• Building challenging eval datasets and autoraters to help us hill-climb and push the frontiers of what Gemini can do with core integrations.

About you

We seek out individuals who thrive in ambiguity and have a shipping mindset, willing to help out with whatever moves prototypes forward. We regularly need to invent novel solutions to problems, and often change course if our ideas don’t work out, so flexibility and adaptability to work on any project is a must.

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

• BS, MS or PhD degree in computer science, mathematics, applied stats, machine learning or similar experience working in industry
• Experience working on software engineering projects from proof-of-concept through to implementation.
• Proven knowledge and experience of Python, C++, GCL in production environments
• Experience in applying experimental ideas to applied problems
• Great communication skills and interpersonal skills
• Knowledge of machine learning and statistics 
• Experience productionizing state-of-the-art large language and multimodal models a plus
• Experience fine-tuning large models (e.g. SFT, RLHF, prompt optimization) a plus

The US base salary range for this full-time position is between $161,000 - $245,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

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 opportunities 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.