Staff AI/ML Engineer — Agentic Systems & LLM Innovation

Google Inc.; New York (NY); On-site; USD 207,000 - 300,000; Full time

Job summary

Google Labs is seeking a Staff Software Engineer for AI/ML to advance ambitious AI initiatives in a fast-moving environment. You will own outcomes, influence architectures, and contribute across design, research, data science, and product teams while delivering scalable ML systems.

This role focuses on building novel AI solutions, evaluating feasibility, and guiding 0-to-1 efforts in a collaborative, startup-like setting within Google.

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, reinforcement learning, ML infrastructure, or another ML field.
• 5 years of experience with ML design and ML infrastructure (model deployment, evaluation, data processing, debugging, fine tuning).
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Design Minimum Viable Tests and prototypes to de-risk novel AI concepts.
• Apply deep expertise in agentic systems—planning, memory, context, tool-use, and loops.
• 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.
• Grow in highly fluid, 0-to-1 environments with cross-functional teams.

Skills

Outcome ownership

Software development

Testing and launching

Software design

ML design & infra

Generative AI integration

Education

Bachelor’s degree or equivalent practical experience

Job description

Google Labs is seeking a Staff Software Engineer for AI/ML to advance ambitious AI initiatives in a fast-moving environment. You will own outcomes, influence architectures, and contribute across design, research, data science, and product teams while delivering scalable ML systems.

This role focuses on building novel AI solutions, evaluating feasibility, and guiding 0-to-1 efforts in a collaborative, startup-like setting within Google.