Staff AI/ML Engineer - GenAI and Agentic Systems (Equity)

Google; Ionia (NY); On-site; USD 207,000 - 300,000; Full time

Job summary

Google Labs is seeking a Staff Software Engineer in AI/ML to advance Google’s AI initiatives. Location options include Mountain View, CA and New York, NY. You will work on large-scale systems, apply advanced ML techniques, and influence product directions with a strong emphasis on experimentation and collaboration.

The role requires extensive software development, ML design, and the ability to drive architecture, with opportunities to own outcomes and work across multi-disciplinary teams.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of software development experience.
• 5 years in testing and launching software products, and 3 years in design/architecture.
• 5 years with ML design/infrastructure (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 agentic systems planning, memory, context, tool-use, and loops to build design solutions.
• Blend software engineering with product management, research, data science, and UX research.
• Analyze signals to evaluate feasibility and inform decisions; prioritize rapid validation.
• Collaborate in small, cross-functional teams to turn ideas into concrete directions.

Skills

Outcomes ownership

Ambiguity solving

AI tooling integration

Cross-team collaboration

Large language models

Education

Bachelor's degree or equivalent

Job description

Google Labs is seeking a Staff Software Engineer in AI/ML to advance Google’s AI initiatives. Location options include Mountain View, CA and New York, NY. You will work on large-scale systems, apply advanced ML techniques, and influence product directions with a strong emphasis on experimentation and collaboration.

The role requires extensive software development, ML design, and the ability to drive architecture, with opportunities to own outcomes and work across multi-disciplinary teams.