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Software Engineering Manager, Machine Learning, Pixel

New Taipei City, Taiwan (On-site)

Software Engineering Manager, Machine Learning, Pixel

1 Hour ago • 8-13 Years • Artificial Intelligence

About the job

5 skills required for this role

Add these skills to join the top 1% applicants for this job

cpp

reinforcement-learning

computer-vision

python

model-deployment

Job Description

Google is seeking a Software Engineering Manager for its Machine Learning team in Pixel. This role involves leading the development of ML systems and models for new Generative AI features on Pixel phones. Responsibilities include designing ML systems, developing and tuning models, designing data collection solutions, creating evaluation frameworks, and staying current with the latest ML technologies. The ideal candidate will have extensive experience in software development (Python or C++), machine learning (various fields, including infrastructure optimization), and technical leadership, including people management. The position focuses on building personal, private, on-device GenAI features for Pixel using LLMs and leveraging Pixel's unique hardware and software capabilities. This involves tackling cutting-edge problems in LLM, AI agent interaction, and private/personalized AI.

Must have:

8+ years software development (Python/C++)
5+ years ML experience (various fields)
5+ years leading ML design & infrastructure optimization
3+ years technical leadership, 2+ years people management
Design ML systems for GenAI features
Develop and tune ML models

Good to have:

Master's/PhD in ML or related field
NLP, LLM, and Computer Vision experience
Android/mobile development experience

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
8 years of experience with software development Python or C++
5 years of industry experience with any of the Machine Learning (ML) fields including but not limited to speech/audio, reinforcement learning, and ML infrastructure.
5 years of industry experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
3 years of experience in a technical leadership role with 2 years of experience in a people management, supervision/team leadership role.

Preferred qualifications:

Master Degree or PhD in Machine Learning, or in a related technical field.
Experience with Natural Language Processing (NLP), Large Language Model (LLM), and Computer Vision (CV).
Experience in Android or mobile development.

About the job

Google is building Generative Artificial Intelligence (GenAI) features on Pixel that are personal, private and on device. Google believes technology has emerged Large Language Models (LLM) to enable such an agent and create a differentiated and transformative experience, especially with Pixel's unique take on hardware (e.g. Tensor chip) + software + Artificial Intelligence (AI).

This project will address many cutting-edge problems, such as: LLM, AI agent interaction with tools/Application programming interfaces (API), private and personalized AI, etc.

In this role, you will be responsible for developing the Machine Learning (ML) system and models that power the Pixel personal agent. This includes tasks such as data collection design, data engineering, feature engineering, model training, and model evaluation. You will work with engineers, researchers and product managers across Google to design and implement new features for the personal agent.

Responsibilities

Design Machine Learning (ML) systems for new GenAI features on Pixel phones.
Develop and tune ML models.
Propose, design and implement data collection solutions.
Design evaluation framework and carry out evaluations of the ML models.
Stay up-to-date on the latest ML techniques and technologies and apply them to Google's technical solutions.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.