Engineering Manager, ML Efficiency, AI Rapid Response Team

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor’s degree or equivalent practical experience. - 8 years of experience in software development. - 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. - 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. - 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). - Experience integrating generative AI tools or LLM interfaces into workflows. Preferred qualifications: - Master’s degree or PhD in Engineering, Computer Science, or a related technical field. - 8 years of polyglot coding expertise in C++ and Python, and familiarity with Google's core infrastructure (XManager, BrainServer, SavedModel, Pathways). - 8 years of experience with data structures and algorithms. - 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. - Knowledge of bridging high-velocity prototyping (TVP) with permanent distributed enterprise scale (Franchises) via structured handoff packages ("graceful exits"). - Track record leading SWAT, Pathfinding, or Forward Deployed Engineering (FDE) teams in fast-paced startup or ambiguous enterprise environments.