Senior Forward Deployed Engineer, Google Labs

Senior Forward Deployed Engineer, Google Labs

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

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Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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XIn 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: Mountain View, CA, USA; New York, NY, USA.

Minimum qualifications:

• Bachelors degree in Computer Science or a related technical field, or equivalent practical experience.
• 5 years of experience with one or more general purpose programming languages including but not limited to: Java, C/C++, Python, Objective C, JavaScript, or Go.
• Experience building or integrating Large Language Model (LLMs), generative AI models, or ML-powered systems into production applications.
• Experience with partner management, cross-functional teams, and leading operational initiatives.

Preferred qualifications:

• Master's degree or PhD in AI, Computer Science, or a related technical field.
• 3 years of experience launching and managing technical, developer-facing products such as Application Programming Interfaces (APIs), Software Development Kits (SDKs), or platforms.
• Extensive working knowledge of modern AI/ML architectures, including LLM evaluations, Retrieval-Augmented Generation (RAG), and agentic workflow designs.
• Ability to effectively communicate compelling vision, architecture and complex technical concepts.

About the job

As a part of the Forward Deployed Engineer (FDE), you will serve as the dedicated technical bridge between AI Futures Fund (AIFF) portfolio companies/partners and DeepMind's model research and product teams. You will be embedded directly in the engineering journeys of AIFF-backed startups and strategic partners as this role focuses on running systematic evaluations, unblocking complex Gemini integrations, and synthesizing deep technical feedback to drive core model improvements and hillclimbing. Your role requires exceptional technical depth, startup empathy, and the ability to operate autonomously in fast-paced environments.Labs is a group focused on incubating early-stage efforts in support of Google's mission to organize the world's information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Manage the technical relationship for AI Futures Fund portfolio partners, guiding the architecture of production-grade generative AI applications and ensuring partner feedback directly impacts model development.
• Design, build, and execute systematic evaluations on partner-specific datasets and real-world workloads to provide DeepMind research teams with high-fidelity performance signals.
• Partner closely with model teams on custom evaluation design, auto-rater setup, and validation to contribute directly to Gemini checkpoint training and active tuning.
• Author high-visibility technical case studies, code samples, and developer deep-dives highlighting breakthrough AIFF partner use cases and demonstrating Gemini's performance in production.
• Collaborate with Google Labs, Cloud, Developer Relations teams to ensure AIFF technical learnings, best practices, and ecosystem wins scale across Google.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles 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 Googles 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.