Found.dev
Role Highlights
Languages used
Key skills
AI
Data Analysis
Big Data
Information Retrieval
Machine Learning
Data Science
Recommender Systems
Computer Science
Software Design
Data Structures
Technical Leadership
LLMs
Generative AI
Testing
Statistics
Quantitative
Architecture
PhD
Research
2D
3D
Gaming
Physics
Visualization
Tools, Libraries and Frameworks
IOS
Power BI
Mountain View
Description
The role involves designing, prototyping, and building scalable features for the Gemini App stack to capture and organize personal user context. Responsibilities include performing data analysis on user feedback and logs to improve how the assistant retains historical interactions. The position requires developing automated and human-in-the-loop evaluation techniques to assess the quality of contextual recall. The individual will act as the primary owner of model output quality to ensure responses reflect user preferences. Additionally, the role contributes to a data flywheel that leverages continuous user context to drive innovation.
Required Qualifications and Skills
Candidates must possess a Bachelors degree or equivalent practical experience, with a Masters or PhD in a technical field preferred. The role requires 8 years of experience in software development and 5 years of experience in software product launching, big data analytics, machine learning, and data science. Additionally, 3 years of experience in software design and architecture is necessary. Preferred qualifications include experience in technical leadership, cross-functional project management, and expertise in AI/ML techniques.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Description
At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.
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