Found.dev
Role Highlights
Languages used
Key skills
AI
NLP
Reinforcement Learning
Information Retrieval
Machine Learning
Computer Vision
Fine Tuning
Computer Science
Data Processing
Data Structures
System Design
Technical Leadership
Full Stack
LLMs
Infrastructure
Deployment
Debugging
Audio
Architecture
Testing
PhD
Search
Storage
Security
UI
Optimization
Tools, Libraries and Frameworks
Mountain View
Android
Description
The role involves designing, developing, testing, deploying, maintaining, and enhancing large-scale software solutions. The engineer provides technical leadership on high-impact projects by managing priorities, deadlines, and deliverables. Responsibilities include driving alignment across teams and coaching a distributed group of engineers. The position requires architecting technical project strategy and leading large-scale infrastructure optimization. Additionally, the engineer oversees the design and implementation of solutions across specialized technical areas. The role also requires staying current with the latest technologies and applying them to technical solutions.
Required Qualifications and Skills
Candidates must possess a Bachelor’s degree or equivalent practical experience, with a Master’s degree or PhD preferred. The role requires at least 8 years of experience in software development and 7 years of experience managing technical projects and ML infrastructure. Applicants need 5 years of experience in specialized ML fields such as speech, audio, or reinforcement learning, as well as 5 years of experience in software design, architecture, and product launching. Proficiency in English is required for all roles.
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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