Staff Software Engineer, AI/ML, Google Labs

Responsibilities

• Design Minimum Viable Tests and prototypes to de-risk novel AI concepts. Execute technical spikes within short, iterative sprints to resolve architectural hurdles and prove core feasibility.
• Apply deep expertise in agentic systems—planning, memory, context, tool-use, and loops—to build novel design, coding, and product solutions.
• Blend Software Engineering with Product Management, Research, Data Science, UX Research functions and an entrepreneurial mindset.
• Analyze early technical and user signals to evaluate project feasibility and inform decisions. Prioritize rapid validation and learning; test for user and value, and technical feasibility to gather actionable signal before committing to scaled infrastructure.
• Grow in highly fluid, 0-to-1 environments. Partner closely within small, cross-functional teams to transform raw, ambiguous ideas into concrete technical and product directions.
• - Design Minimum Viable Tests and prototypes to de-risk novel AI concepts. Execute technical spikes within short, iterative sprints to resolve architectural hurdles and prove core feasibility. - Apply deep expertise in agentic systems—planning, memory, context, tool-use, and loops—to build novel design, coding, and product solutions. - Blend Software Engineering with Product Management, Research, Data Science, UX Research functions and an entrepreneurial mindset. - Analyze early technical and user signals to evaluate project feasibility and inform decisions. Prioritize rapid validation and learning; test for user and value, and technical feasibility to gather actionable signal before committing to scaled infrastructure. - Grow in highly fluid, 0-to-1 environments. Partner closely within small, cross-functional teams to transform raw, ambiguous ideas into concrete technical and product directions.

Minimum qualifications:

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: - Experience with AI/ML systems, particularly with Large Language Models (LLMs) and agentic systems. - Experience with system design, evaluation methodologies, and quantitative data analysis. - Understanding of agentic architectures, including loops, skills, context management, planning, tool use, evals. - Ability to work in a small-team/startup, building new products and dealing with uncertainty and fluidity. - Passion for developer tools, code AI, design AI, developer productivity, and improving software engineering workflows.