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Forward Deployed Engineer, Kaggle, DeepMind (Fixed-Term Contract)

DeepMind

CA; NYContract$174–232K/yrPosted 1 day agoStill listed today

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At a glance

Compensation
$174–232K/yr
Location
CA; NY
Schedule
Contract
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Forward Deployed Engineer works across Engineering, Product, and Community to onboard external benchmarks to Kaggle and connect strategic partners with model research teams. The role builds joint evaluations, supports complex integrations, and synthesizes technical signals to inform model improvements. It is a 12-month fixed-term contract focused on partner-specific benchmarking and developer feedback.

Skills & qualifications

RequiredNice to have

Skills

Python (Programming Language)JavaScript (Programming Language)TypeScriptMachine LearningSoftware DevelopmentSoftware TestingTechnical WritingCustomer Relationship ManagementSoftware MaintenanceSoftware LaunchingSoftware DesignSoftware ArchitectureMachine Learning SystemsLarge Language ModelsPublic BenchmarksEvaluation DesignDeveloper ToolsAPIsSDKsPlatform IntegrationCustomer CollaborationIndependent WorkCommunicationDocumentationTutorial DevelopmentEngineering Case Studies

Qualifications

Bachelor's Degree or Equivalent Practical Experience5+ Years Software Development Experience3+ Years Software Product Experience1+ Year Software Design and Architecture ExperienceCustomer-Facing Role ExperienceEnglish Proficiency

Full job description

Forward Deployed Engineer, Kaggle, DeepMind (Fixed-Term Contract) Share Forward Deployed Engineer, Kaggle, DeepMind (Fixed-Term Contract)

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corporate_fareDeepMindplaceMountain View, CA, USA; New York, NY, USA

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Share Forward Deployed Engineer, Kaggle, DeepMind (Fixed-Term Contract)

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

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience with software development and experience with coding in Python, JavaScript/TypeScript, or similar languages.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • Experience with Machine Learning systems or Large Language Models (LLMs).
  • Experience in a customer-facing role, managing client relationships or external stakeholders.

Preferred qualifications:

  • Experience building public benchmarks and evals.
  • Experience working with developer tools, APIs, SDKs, or platform integration.
  • Ability to collaborate directly with external customers or partners in a technical capacity.
  • Ability to work independently with minimal oversight across global time zones.
  • Excellent technical writing and communication skills, along with the ability to produce documentation, tutorials, or engineering case studies.

About the job This is a 12-month fixed-term contract position. Our team works at the intersection of Engineering, Product, and Community. You will work in the emerging benchmark ecosystem to onboard external benchmarks to Kaggle. Through collaborative engineering, joint benchmarking, and feedback loops, we run systematic evaluations to accelerate model capability understanding. The Forward Deployed Engineer is the technical bridge between DeepMind’s most strategic partners and our model research teams. This role is embedded in the partner’s engineering journey, building joint evals, unblocking complex integrations, and synthesizing deep technical signals to drive model improvements. 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: $174000 - $232000 (USD) + 15% bonus target

Learn more about benefits at Google.

Responsibilities

  • Own the end to end onboarding of critical new benchmarks to the Kaggle platform.
  • Drive joint evaluations and benchmarking, build and run systematic evals on partner-specific datasets to deliver high-fidelity performance signals directly to modeling teams.
  • Author high-visibility case studies, developer blogs, and reference implementations to showcase Gemini's production capabilities.
  • Build feedback loop tooling, collaborate with product engineering to develop tooling that aggregates and surfaces developer feedback patterns at scale.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate 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 also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. 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.

How this job compares

Set against the 2,625 open Forward Deployed Engineer jobs on Olive Jobs, counted October 29, 2026.

Pay
  • This posting$174–232K/yr
  • US median$135–260K/yr2,265 salary ranges

This range's midpoint, $203K, is close to the US median midpoint ($200K) — in the middle half of Forward Deployed Engineer salary ranges across the US.

Openings
Olive Jobs lists 2,625 open Forward Deployed Engineer jobs across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most across the US
Experience
This posting asks for at least 5 years of experience; Forward Deployed Engineer postings that state a minimum ask for 5 years at the median (2,292 postings).
Education
674 of the 2,625 open Forward Deployed Engineer jobs (26%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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