Engineering Manager, AI Data, ML Processing and Analysis

Google is a global technology company that designs and manages hardware, software, ML, and systems infrastructure for all Google services and Google Cloud.
$197,000 - $291,000
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS

Description For Engineering Manager, AI Data, ML Processing and Analysis

Google is seeking an Engineering Manager to lead their AI Data, ML Processing and Analysis team within the ML, Systems & Cloud AI (MSCA) organization. This role combines technical leadership with people management, focusing on improving model quality through data-centric approaches. The position involves leading a team of engineers working on data optimization techniques for ML models, particularly in the context of Large Language Models and GenAI.

The role requires a strong technical background with 8 years of software development experience and proven leadership capabilities. The successful candidate will work at the intersection of research and engineering, building tools and pipelines that support AI researchers and engineers across Google. They will be responsible for scaling data optimization techniques and improving the performance of machine learning models that power various Google products and services.

This is an exciting opportunity to work with cutting-edge AI technology, particularly in the Gemini Era, where data quality is crucial for model performance. The role involves collaboration with research teams and ML practitioners, building and iterating on engineering tools, and supporting user adoption of these systems. The position offers competitive compensation, including a base salary range of $197,000-$291,000, plus bonus, equity, and comprehensive benefits.

The ideal candidate should have experience with LLM/GenAI infrastructure, understand ML research and development workflows, and be comfortable working in a fluid, ambiguous environment. They will be part of Google's mission to make AI helpful for everyone, working with teams across different time zones and locations. This role is perfect for someone who combines technical expertise with leadership skills and wants to impact the future of AI technology at a global scale.

Last updated a day ago

Responsibilities For Engineering Manager, AI Data, ML Processing and Analysis

  • Lead a team of Engineers that scale Data Optimization techniques improving the performance and quality of Machine Learning (ML) models
  • Work with the Research teams as well as ML practitioners to identify, build and iterate on engineering tools, processing pipelines, data optimization techniques, integration with existing workflows, user interfaces and supporting users adoption
  • Work in a fast-evolving field, apply research, and work with users, to further Google's goal of making AI helpful for everyone
  • Help accelerate relationships and iterate in the way GenAI requires us to

Requirements For Engineering Manager, AI Data, ML Processing and Analysis

Python
Java
  • Bachelor's degree or equivalent practical experience
  • 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java)
  • 3 years of experience in a technical leadership role
  • 2 years of experience in people management/supervision/team leadership role
  • Experience working with Large Language Model (LLM)/GenAI infrastructure
  • Understanding of ML research and development workflows
  • Ability to work in a fluid and ambiguous environment
  • Ability to build the infrastructure ecosystem to support AI researchers and engineers
  • Ability to collaborate with other teams across time zones

Benefits For Engineering Manager, AI Data, ML Processing and Analysis

Medical Insurance
Dental Insurance
Vision Insurance
  • bonus
  • equity
  • benefits

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