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Software Engineer, AI Innovation and Research, Engagements

Ai Build Limited • Mountain View, CA, United States • $200k - $250k / year • 4w ago

Software Engineer, AI Innovation and Research, Engagements

Google

Published 28 Sep 2024

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Mountain View, CA, USA

$161,000-$239,000 annually

Full Time

27500 - 275000 people

Role Highlights

NLP

Information Retrieval

Computer Science

Integrations

Full Stack

Software Design

Data Processing

Data Structures

System Design

Technical Leadership

Testing

Infrastructure

Deployment

PhD

Storage

Security

Research

Tools, Libraries and Frameworks

Description

Google's software engineers develop technologies that transform user interactions with information. The role entails working on high-priority projects that integrate AI technologies into products, with a clear path to deployment. Engineers will collaborate across various teams, focusing on delivering AI-powered experiences to users. The position emphasizes versatility, leadership, and the ability to tackle new challenges across the technology stack.

Required Qualifications and Skills

A bachelor's degree or equivalent practical experience is required, along with five years of software development experience and three years of experience with ML infrastructure. Familiarity with AI is essential, alongside experience in testing, maintaining, or launching software products. Preferred qualifications include a master's degree or PhD in a related technical field and previous experience in a technical leadership role. The emphasis is on building and integrating AI/ML models into production systems.

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.

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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