Found.dev
Role Highlights
Languages used
Key skills
AI
NLP
Data Mining
Reinforcement Learning
Information Retrieval
Computer Science
LLMs
Research
Modelling
Mathematics
Infrastructure
ProtoTyping
Compilers
Search
Multimodal
Tools, Libraries and Frameworks
Mountain View
Description
The role involves designing modeling innovations to enable autonomous acquisition and reasoning over structured domain knowledge. The individual will advance next-generation retrieval architectures and multimodal representations to improve intent capture and retrieval quality. Responsibilities include building and training models that reflect on outputs and self-improve through experience. The position requires setting up large-scale tests and deploying ideas while managing deadlines and deliverables. The individual will collaborate with product teams to scale research innovations into production environments. Additionally, the role involves contributing to the wider research community by sharing and publishing findings.
Required Qualifications and Skills
Candidates must possess a Bachelor's degree in Computer Science or a relevant technical field with a focus on AI research, or equivalent practical experience. A minimum of 8 years of experience in the full lifecycle of research modeling is required, with an emphasis on quality outputs and autonomous learning. Proficiency in developing and scaling Large Language Models or Information Retrieval systems is necessary. Applicants should demonstrate the ability to solve complex problems and implement multi-stage training pipelines.
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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