Embedded GenAI Engineer for Strategic Partnerships

Google DeepMind; San Francisco (CA); Hybrid; USD 174,000 - 252,000; Full time

Job summary

Google DeepMind is seeking a Forward Deployed Engineer to bridge DeepMind model teams and strategic partners. You will design joint evaluations, unblock complex integrations, and synthesize technical signals to influence model development.

This role requires strong technical fluency, customer empathy, and global collaboration across time zones. As part of the team, you’ll help accelerate Gemini production deployments, craft high-impact evaluations, and contribute to the safety and ethics

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of software development experience with Python, JavaScript/TypeScript or similar.
• 3 years of testing/maintaining/launching software products and 1 year in design/architecture.
• Experience with machine learning systems or large language models.
• Experience in a customer-facing role managing client relationships.

Responsibilities

• Embed with strategic partners and own the technical relationship, assisting with architecture and production-grade GenAI applications.
• Lead joint evaluations and benchmarking, run evals on partner data to provide signals to modeling teams.
• Guide partners on GenAI workloads and advanced implementation techniques, including RAG and multimodal integrations.
• Author case studies, blogs, and reference implementations to showcase Gemini's capabilities.
• Build tooling for developer feedback and collaborate with product engineering to surface insights.

Skills

Software development

Python/JS/TS

ML/LLMs

Customer-facing

Education

Bachelor's degree or equivalent

Tools

Developer tools/APIs/SDKs

Job description

Google DeepMind is seeking a Forward Deployed Engineer to bridge DeepMind model teams and strategic partners. You will design joint evaluations, unblock complex integrations, and synthesize technical signals to influence model development.

This role requires strong technical fluency, customer empathy, and global collaboration across time zones. As part of the team, you’ll help accelerate Gemini production deployments, craft high-impact evaluations, and contribute to the safety and ethics