Senior Forward Deployed Engineer, Google Labs

Google•Mountain View, CA

1d•$174,000 - $252,000

About The Position

As a Forward Deployed Engineer, you will serve as the dedicated technical bridge between AI Futures Fund (AIFF) portfolio companies and partners and DeepMind’s model research and product teams. You will be embedded in the engineering journeys of AIFF-backed startups and strategic partners, running systematic evaluations, unblocking complex Gemini integrations, and synthesizing technical feedback to drive core model improvements. The role calls for technical depth, startup empathy, and the ability to work autonomously in fast-paced environments. Google Labs incubates early-stage efforts that support Google’s mission to organize the world’s information and make it universally accessible and useful. The team explores and applies new technologies to develop solutions that may transform how users interact with Google, with the goal of creating impactful products and capabilities over longer timeframes. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US salary range: $174,000–$252,000, plus a 15% bonus target, equity, and benefits.

Requirements

Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
At least 5 years of experience with one or more general-purpose programming languages, including Java, C/C++, Python, Objective C, JavaScript, or Go.
Experience building or integrating large language models, generative AI models, or ML-powered systems into production applications.
Experience with partner management, cross-functional teams, and leading operational initiatives.

Nice To Haves

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

Responsibilities

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