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Senior ML Software Engineer, GeminiApp Strategic User Segments

Google DeepMind Mountain View, California, US Full-time GeminiApp Posted Feb 5, 2026
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What it’s like to work at Google DeepMind

AI Research Lab · London, UK

4.2
Employee Rating
4
Work-Life Balance
70
Open Roles
deep-worklearningeng-drivendiverseethical-aiequityflex-hours

What employees love

  • World-class AI research environment with brilliant, collaborative colleagues
  • Google-level compensation and benefits with genuine work-life balance

What could be better

  • Google-scale bureaucracy — slow decision-making compared to startups
  • Large org means less individual ownership and impact on direction
View full Google DeepMind culture profile →

About the Role

Snapshot

The Strategic User Segments team is dedicated to expanding Gemini’s reach into high-potential sectors, including Education, Health, and Small Businesses, by building capabilities that address the unique workflows of these users. As a Software Engineer on this team, you will build full-stack integrations to the GeminiApp platform, shipping exciting new features quickly from concept to launch.

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 full-stack role, you will work on building high quality, domain-specific experiences within Gemini App. We are looking for candidates who have a passion and a strong track record of developing novel technologies, systematically experimenting and evaluating them and iterating rapidly.

What makes this job unique at Google?

Key responsibilities:

About You

We are looking for an individual who balances the need for speed with the discipline of building scalable, maintainable systems. You are a problem-solver who thrives in ambiguity and can rapidly iterate on evolving requirements to build robust full-stack feature integrations. You value code quality and operational excellence, and you foster a collaborative environment where technical knowledge is shared and the team succeeds together. To succeed in this role, you will need:

In addition, the following would be an advantage:

The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline:

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.

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Frequently Asked Questions

What is the work-life balance like at Google DeepMind?
Google DeepMind has a work-life balance score of 4/5 based on employee reviews. This is above average, suggesting the company genuinely respects work-life boundaries.
What is Google DeepMind’s culture like?
Google DeepMind is characterized by these culture values: deep-work, learning, eng-driven, diverse, ethical-ai, equity, flex-hours. Based on employee reviews, the company has an overall rating of 4.2/5. World-class AI research environment with brilliant, collaborative colleagues
How many open roles does Google DeepMind have?
Google DeepMind currently has 70 open roles across departments including engineering, product, sales, and more. Roles are refreshed daily from their careers page.
Is this role remote-friendly?
This role is located in Mountain View, California, US. Check the job description above for specific location and remote work details.
Apply for this role at Google DeepMind →