Gemini Partner Engineer, gTech Users and Products

Key Skills

Aartificial intelligence, C++, Large Language Models - LLMs, Machine learning techniques, Python Programming, PyTorch, Sass, UI design, UX design

Job Description

Minimum qualifications:

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 6 years of experience leading multi-month, cross-functional projects, and working with internal/external stakeholders and partners or customers.
• 6 years of experience with Python and C++ software development, architectural components, and system design.
• Experience in Machine Learning (RAG, fine tuning, prompt engineering, etc.), web technologies and technical troubleshooting.

Preferred qualifications:

• Experience in managing internal/external stakeholders.
• Experience working with partners (PM, Engineer) to design and implement technical solutions.
• Demonstrated ability to manage multiple projects simultaneously.
• Excellent verbal and written communication skills.

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. If you're excited about shaping the future of human-AI interaction and building innovative partner-facing solutions that seamlessly integrate into users' daily lives, and thrive in a nascent, growing and fluid environment, this role is at the forefront of this field. The gUP Gemini Partner Engineering team is a 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 work closely with Gemini PM/Engineering, first-party teams, business development and third-party partners to build Artificial Intelligence (AI) tools for task automation and towards a personalized, trusted assistant enabling high quality, scalable solutions. You will be building productionizable, scalable solutions for partners to create a Gemini experience and support partner and user needs and ambitions.

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 $142,000-$211,000 + 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

• Lead technical integration and launch of new partner integrations within Gemini, ensuring a frictionless partner and user experience. Improve existing partner/user experience and grow user value.
• Contribute to the evolution of Gemini through Large Language Model (LLM)-based solutions/processes (tools/colabs) for partner schema ingestion, data preparation and quality iterations (prompt engineering, running evals, 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.
• 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.