Staff Software Engineer, AI/ML, Jigsaw

Google • New York, NY

8h • $197,000 - $291,000

About The Position

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Jigsaw is an incubator within Google that builds technologies to give people greater agency in the world around them. Across the globe, we're more connected than ever before, to information and to each other, yet many of us feel disconnected from the decisions and systems that affect our lives. We believe that AI can bridge this divide between the desire to shape our world and the ability to do so. Jigsaw offers mission-driven work within a nimble interdisciplinary team, connections to academia and civil society, and a quick path to taking technology public. The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Requirements

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products
• 3 years of experience with software design and architecture.
• 5 years of experience with one or more of the following: rapid prototyping, AI, 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).

Nice To Haves

• Experience with the latest AI capabilities and vibe coding tools.
• Ability to navigate ambiguity and deliver proofs-of-concept or technical prototypes.
• Ability to be a technical leader on an interdisciplinary, cross functional team, aligning technical priorities with outcomes and Google-wide business goals.
• Excellent communication skills, with the ability to translate technical complexity into engaging narratives for non-technical stakeholders.
• Interest with technology and social systems, such as governance and health.

Responsibilities

• Lead the development of applied AI concepts, navigating the team through the Jigsaw development life cycle of exploration, fluid prototyping, landing an engaging proof-of-concept, and guiding transition for replication.
• Lead the team of engineers, fostering a culture of experimentation and engineering excellence.
• Stay informed of the latest AI capabilities, identify opportunities to use these and set best practices for the team.
• Work with researchers, designers, product managers, and external partners to bridge the gap between human needs and technological capabilities.
• Own the technical narrative for our proofs-of-concept, preparing demos and technical documentation that inspire Google leadership and external partners.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level