Minimum qualifications:
- Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 9 years of experience working with web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
- 9 years of experience coding with one or more programming languages (e.g. Python, C++).
- 5 years of experience with software development and with architectural components and system design.
- Experience in technical troubleshooting, and managing internal/external partners or customers.
- MBA or Master's degree in Computer Science or Engineering, a related technical field, or equivalent practical experience.
- 9 years of experience running technical engagements with external clients/partners.
- 6 years of experience using Machine Learning and building solutions.
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About the job
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).
Gemini is a nascent and fast-changing space that is both exciting and ambiguous. You will be shaping the future of human-Artificial Intelligence (AI) interaction and building innovative partner-facing solutions that seamlessly integrate into users' daily lives, and thrive in a nascent, growing and fast-paced environment, this role is at the forefront of this field. The gTech Users and Products (gUP) Gemini Partner Engineering team is a highly technical, collaborative and passionate group that brings the best of Gemini to users through first party and third party partner integrations.
In this role, you will be contributing to the expansion of Gemini's capabilities. You will shape the future of highly competitive area at the forefront of AI technology and innovation, evolve how Gemini can get more done for users through partner integrations, build first-of-their-kind technical solutions, improve the model's capability/bring it to market, and dive into evaluations to understand the gaps and address opportunities.
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 .
The US base salary range for this full-time position is $171,000-$257,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 .
Responsibilities
- Serve as the technical expert for the team, providing guidance on architecture, design, implementation, and best practices.
- Mentor and coach team members, foster their technical growth and development through code reviews, collaborative troubleshooting, and knowledge sharing.
- Contribute to the evolution of Gemini throughLarge Language Model(LLM)-based solutions/processes (ex: tools/colabs) for partner schema ingestion, data preparation and quality iterations, prompt engineering, running evaluations, loss bucket analysis, Supervised Fine Tuning(SFT) data points.
- Influence product strategy and work with cross-functional teams to bring partner-facing features to market. Stay up-to-date on industry trends and latest Machine Learning (ML) research, tools and techniques.
- Advocatefor partners, user experience, and for partner success with Engineering and Product teams.