Research Software Engineer, DeepMind

Cambridge, MA, USA;
Mountain View, CA, USA; +2 more; +1 more

In most instances, this position requires in-person interviews as part of the hiring process.

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Cambridge, MA, USA;
Mountain View, CA, USA;
New York, NY, USA.

• Bachelor's degree or equivalent practical experience.
• 5 years of industry experience with 2 years in machine learning or software engineering.
• 2 years of experience with software development in one or more programming languages.

• Master's degree or PhD in Computer Science or related technical fields.
• Experience developing accessible technologies.

At Google Deep Mind, our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting-edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators.

You will create graphical visualization of results, build competitive agent leaderboards, and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team.

Help design and build innovative ways of working with AI systems. Collaborate with research scientists and engineers to advance the frontier of human-AI interaction and expand the capabilities of AI for users. This role requires software engineering expertise combined with an applied understanding of machine learning and interface design.

Artificial intelligence will be one of humanity's most transformative inventions. At Google Deep Mind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

• US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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