Forward Deployed Engineer, DeepMind

Forward Deployed Engineer

The team works at the intersection of Engineering, Product, and Community. We advocate partner success and model excellence by embedding with Deep Mind's most strategic developers. Through collaborative engineering, joint benchmarking, and feedback loops, we run systematic evaluations to accelerate model improvements, unblock key integrations, and showcase Gemini's capabilities  a Forward Deployed Engineer (FDE), you will serve as the technical bridge between Deep Mind's model teams and our most strategic partners.

Embedded directly in the partner's engineering journey, you will design joint evaluations, unblock complex integrations, and synthesize high-fidelity technical signals to directly influence model development. This role demands a combination of technical expertise, customer empathy, and the autonomy to operate effectively across global time zones.

Artificial intelligence will be one of humanity's most transformative inventions. At Google Deep Mind, 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 - $252000 (USD) + 15% bonus target + equity + benefits.

Responsibilities:

• Embed with strategic partners, own the technical relationship with top strategic partners, helping them architect, optimize, and build production-grade GenAI applications.
• Serve as the primary technical escalation path for strategic partners during critical launch windows and production issues.
• Drive joint evaluations and benchmarking, build and run systematic evals on partner-specific datasets to deliver high-fidelity performance signals directly to modeling teams.
• Optimize GenAI workloads, guide partners on advanced implementation techniques, including prompt engineering, complex Retrieval-Augmented Generation (RAG) architectures, and multimodal integrations.
• 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.

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.