Job Type
Job Details
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 3 years of experience with Python and C++, and experience in web technologies and technical troubleshooting.
- Experience with Machine Learning (RAG, fine tuning, prompt engineering, etc.).
Preferred qualifications:
- Master’s degree in Engineering, Computer Science, Business, or a related field.
- 3 years of experience using Machine Learning and building solutions.
- 3 years of experience in an investigative role such as business intelligence, problem-solving or statistics.
- 3 years of experience working with systems (e.g., Linux, Unix, Windows).
In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration, and more).
The gUP Gemini and Assistant Partner Engineering team is at the forefront of building scalable solutions for 1P/3P partners to create a Gemini and Assistant experience to support partner and user needs.
Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
To learn more about gTech, check out our video.
- Drive new technical partner integrations within Gemini, ensuring a frictionless partner experience, improve existing partner/user experience and grow user value.
- Contribute to the evolution of Gemini through Large Language Model (LLM)-based solutions/processes (e.g.,tools/collabs) for partner schema ingestion, data preparation and quality iterations (prompt engineering, running evals, loss bucket analysis, Statement of Financial Transactions (SFT) data points).
- Influence product strategy and work with cross-functional teams to bring partner-facing features to market.
- Advocate seamless partner and user experience and advocate for user and partner success with engineering and product teams.
- Stay up-to-date on industry trends and latest machine learning research, tools and techniques.
