Job description

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 . • 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. • Bachelor's 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. Minimum qualifications: • Bachelor's 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.

Requirements

Must-haves

Learn more about benefits at Google .
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.
Bachelor's 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.
Bachelor's 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.
3 years of experience launching and managing technical, developer-facing products such as Application Programming Interfaces (APIs), Software Development Kits (SDKs), or platforms.

Nice-to-haves

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Master’s degree or PhD in AI, Computer Science, or a related technical field.
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.

Application prep

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Keywords to mirror

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Platform: google
Effort: medium

Benefits

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