Senior Forward Deployed Engineer, Google Labs
About the role
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.
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
[https://www.google.com/about/careers/applications/benefits/].
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.
Responsibilities
- Manage technical relationships with AI Futures Fund partners and guide production-grade generative AI application architecture.
- Design and execute systematic evaluations using partner datasets and real-world workloads.
- Collaborate with model teams on evaluation design, auto-rater setup, and validation for Gemini development.
- Create technical case studies, code samples, and developer resources showcasing partner use cases.
- Share technical learnings and best practices across Google Labs, Cloud, and Developer Relations.
Qualifications
- Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
- At least 5 years of experience with a general-purpose programming language.
- Experience building or integrating LLMs, generative AI models, or ML-powered systems into production applications.
- Experience with partner management, cross-functional teams, and leading operational initiatives.
- Preferred: Master's degree or PhD in AI, Computer Science, or a related technical field.
- Preferred: 3 years of experience launching and managing developer-facing products such as APIs, SDKs, or platforms.
- Knowledge of modern AI/ML architectures, including LLM evaluations, RAG, and agentic workflows.
- Ability to communicate technical vision, architecture, and complex concepts effectively.
Benefits
- 15% bonus target
- Equity
- Benefits
Skills mentioned
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh
H-1B sponsorship history
Historical employer filing data was found for Google. The employer record includes 57,181 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.