Full-Time

Staff Engineer

Mobile, Gemini App, Google Deepmind

Posted on 9/9/2025

DeepMind

DeepMind

1-10 employees

AI research organization pursuing safe AGI

Compensation Overview

$197k - $291k/yr

+ Bonus + Equity + Benefits

New York, NY, USA + 1 more

More locations: Mountain View, CA, USA

In Person

Category
Software Engineering (1)
Required Skills
Kotlin
Flutter
UI/UX Design
Java
iOS/Swift
Objective-C
Android Development
React Native
Requirements
  • Minimum of 10 years of professional, full-time experience and expert-level proficiency in native mobile development (Android or iOS), with a history of shipping complex, user-facing applications at scale.
  • Proven experience as a technical lead with a track record of supporting and leading high-performing mobile engineering teams.
  • Experience leading the delivery of large-scale technical projects, defining team roadmaps, and making critical architectural decisions in collaboration with product and UX partners.
  • A passion for developing engineers, with direct experience in hiring, mentoring, and managing performance and career growth.
  • Excellent collaboration and communication skills, capable of representing the team and driving alignment with senior leadership and non-technical stakeholders.
Responsibilities
  • Architect and implement foundational mobile systems and features for the Gemini App, ensuring they are scalable, reliable, and performant.
  • Lead the day-to-day technical direction of a project team, unblocking engineers and ensuring timely delivery of high-quality features.
  • Establish and champion engineering best practices and technical standards across the mobile team through design reviews, documentation, and direct mentorship.
  • Own the technical strategy for large, ambiguous product areas, breaking down complex problems into actionable plans and guiding the team through execution.
  • Serve as the primary technical point of contact for a project, driving alignment between engineering, product, UX, and other cross-functional partners.
  • Influence the direction of our client-supporting server infrastructure, ensuring it meets the evolving needs of our mobile applications.
Desired Qualifications
  • Familiarity with ML systems and LLM concepts is a plus but not required.

DeepMind conducts research in artificial intelligence to advance general problem-solving capabilities with safety and ethics guiding every project. It develops AI systems and learning algorithms that can tackle complex tasks, such as diagnosing eye diseases, reducing data center energy use, and predicting 3D protein shapes. These products work by learning from large datasets and optimizing models to perform specialized tasks, often through deep neural networks and reinforcement learning, then deploying the resulting systems to assist scientists, doctors, and engineers. What sets DeepMind apart is its emphasis on rigorous fundamental research published in top journals, a strong safety/ethical framework, and collaboration on real-world scientific challenges, rather than just commercial applications. The company’s long-term goal is to solve intelligence and build more general, capable problem-solving systems that can help society address major scientific and humanitarian problems.

Company Size

1-10

Company Stage

Acquired

Total Funding

$533M

Headquarters

Thessaloníki, Greece

Founded

2010

Simplify Jobs

Simplify's Take

What believers are saying

  • GraphCast excels in extreme weather prediction, partnering with disaster agencies.
  • AlphaFold collaborates with DNDi on Chagas and Leishmaniasis therapeutics.
  • Open GraphCast deployment since September 2024 enables enterprise licensing.

What critics are saying

  • Top AI talent exits DeepMind due to Google merger bureaucracy.
  • Isomorphic Labs secures Eli Lilly and Novartis drug discovery deals.
  • NVIDIA's PhysicsNeMo reimplements GraphCast, commoditizing the technology.

What makes DeepMind unique

  • AlphaFold predicts protein structures, catalyzing biology progress since 2021.
  • GraphCast delivers 90% accurate 10-day weather forecasts in under one minute.
  • AlphaGo defeated Go champion Lee Sedol in 2016 using reinforcement learning.

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Benefits

Performance Bonus

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