Research Engineer, Polaris, DeepMind

Google; Town of Montana (WI); On-site; USD 147,000 - 210,000; Full time

Job summary

Google DeepMind's Polaris group seeks a Research Engineer to help design and deliver tasks that test Gemini's ability to complete long-horizon software engineering work and to launch new projects enhancing training data and evaluations. The role sits within a research-driven environment that blends practical software engineering with cutting-edge AI experimentation and university collaborations.

Engineers collaborate across multiple domains on ambitious AI projects, contributing to advancing

Qualifications

• Experience in software development and programming.
• Experience using AI-assisted coding tools, developer agents, or LLM-based workflows for software development.
• Experience using coding agents for performing work.

Responsibilities

• Create tasks that will measure Gemini's ability to perform long-horizon software engineering tasks, and launch entirely new projects within DeepMind aimed at improving Gemini's training data and evaluations (evals).

Skills

Software development

AI-assisted coding tools

Coding agents

Job description

Research Engineer, Polaris, DeepMind

Location: Mountain View, CA, USA

Minimum qualifications:

• Experience in software development or programming.
• Experience using AI-assisted coding tools, developer agents, or LLM-based workflows for software development.
• Experience using coding agents for performing work.

Preferred qualifications:

• Experience participating in competitive programming, mathematics competitions (e.g., IMO, USAMO, Putnam, or IOI), or hackathons.
• Experience designing rubrics, evaluation frameworks, or benchmark datasets for machine learning models.
• Demonstrated ability to quickly adapt to and learn new programming paradigms, tools, and technical stacks.

About the job

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

Engineers on the Polaris team design tasks that test Gemini's ability to complete software engineering work. A task is essentially an in-depth examination that evaluates how well Gemini performs in a specific, complex scenario. The primary components of a task are: a prompt that instructs Gemini what to do and a grader or rubric that assigns a numerical score to the model's attempted solution.

Our team, Polaris, is distinguished primarily by how much manual effort we put into building individual tasks. Rather than generating a large number of tasks using a synthetic data pipeline, engineers on the Polaris team prioritize creating a smaller number of tasks that more closely capture the realism and complexity of real-world software engineering. A single well-designed task typically takes a Polaris engineer roughly one week to complete, from the initial ideation stage to final approval.

Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, 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 Salary: $147,000 - $210,000 (USD) + 15% bonus target + equity + benefits

Responsibilities

• Create tasks that will be used to measure Gemini's ability to perform long-horizon software engineering tasks, and launch entirely new projects within DeepMind aimed at improving Gemini's training data and evaluations (evals).

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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.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionally by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.