Senior ML Software Engineer, GeminiApp Strategic User Segments

Snapshot

The Strategic User Segments team is dedicated to expanding Gemini’s reach into high-potential sectors, including Education, Health, and Small Businesses, by building capabilities that address the unique workflows of these users. As a Software Engineer on this team, you will build full-stack integrations to the Gemini App platform, shipping exciting new features quickly from concept to launch.

In this full-stack role, you will work on building high quality, domain-specific experiences within Gemini App. We are looking for candidates who have a passion and a strong track record of developing novel technologies, systematically experimenting and evaluating them and iterating rapidly.

• Demonstrate technical leadership in building innovative features for the target users
• Lead the full-stack implementation, from front-end, back-end, to the model, to deliver high quality products
• Collaborate with researchers to understand cutting‑edge innovation in generative AI, and apply it to the app
• Conduct in‑depth data analysis to identify headroom for the feature, and develop a strategy to design and implement solutions to improve the quality
• Collaborate with partner teams to enable Gemini features in all languages

We are looking for an individual who balances the need for speed with the discipline of building scalable, maintainable systems. You are a problem‑solver who thrives in ambiguity and can rapidly iterate on evolving requirements to build robust full‑stack feature integrations. You value code quality and operational excellence, and you foster a collaborative environment where technical knowledge is shared and the team succeeds together.

To succeed in this role, you will need:

• Bachelors or Masters degree in computer science or related technical field
• 10+ years of experience with software development in one or more programming languages, and with data structures/algorithms.
• 5+ experience with full stack development, across back‑end such as Java
  , Python
  , GO
  , or C++ codebases, and front‑end experience including Java Script or Type Script ,
  Angular
  , HTML
  , CSS
  , etc.
• Hands‑on experience with prompt engineering and post‑training techniques for large language models, including data pipeline and evaluation methodologies
• Excellent problem‑solving and analytical skills.
• Strong communication and teamwork abilities.

In addition, the following would be an advantage:

• Proven experience in mobile software development
• Interest in LLMs and adapting AI technologies for different user groups.
• Ability to thrive and prioritize effectively in a fast‑paced, dynamic environment with multiple stakeholders
• Prior experience working with product teams