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Evals Engineer, Polaris, DeepMind (Fixed-Term Contract)

Google

Mountain View, CAContract / Temporary$300–525K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$300–525K/yr
Location
Mountain View, CA
Schedule
Contract / Temporary
Work Authorization
Not specified

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Job overview

The Polaris team designs tasks that evaluate Gemini’s ability to complete complex software engineering work. Engineers create realistic, manually developed evaluation tasks, assess weaknesses in the latest AI models, and develop data and pipelines to improve Gemini. The role is a 12-month fixed-term contract. Google states that there are no education or degree requirements.

Skills & qualifications

RequiredNice to have

Skills

AI Coding AgentsAnalytical SkillsProblem-SolvingCompetitive ProgrammingMathematics Competitions

Qualifications

Experience Using AI Coding AgentsCompetitive Programming or Mathematics CompetitionsEnglish Proficiency

Full job description

Evals Engineer, Polaris, DeepMind (Fixed-Term Contract)

Share Evals Engineer, Polaris, DeepMind (Fixed-Term Contract)

corporate_fare DeepMind place Mountain View, CA, USA

Share Evals Engineer, Polaris, DeepMind (Fixed-Term Contract)

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XThis is a 12 month Fixed Term Contract (FTC) role.

Minimum qualifications:

  • Experience using AI coding agents

  • Strong analytical and problem-solving skills

Preferred qualifications:

  • Experience participating in competitive programming, mathematics competitions (e.g., IMO, USAMO, Putnam, or IOI)

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 eval 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.

There are no education or degree requirements for this role.

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.

12-Month Fixed-Term Contract Compensation Range:

  • Base Salary Range : $300,000 – $525,000

  • Total Compensation Range : $400,000 – $1,100,000 (includes additional sign-on bonus and 15% target annual bonus).

Responsibilities

  • Create tasks that will be used to measure Gemini’s ability to perform long-horizon software engineering tasks.

  • Evaluate weaknesses of our latest AI models, and develop data and pipelines for improving Gemini.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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