Research Engineer, ML Metrics & Model Serving

Google DeepMind; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google DeepMind is seeking a highly skilled ML-focused engineer/researcher to work with researchers and engineers on live experiments, data signals, and model-quality improvements. You will help analyze user behavior and model performance to drive GenAI developments, ensuring safe and ethical AI progress.

In this role, you will contribute to cross-functional projects, from concept to implementation, across live data, serving stacks, and analytics dashboards, with an emphasis on transformer-based

Qualifications

• Bachelor's degree or equivalent practical experience in CS/math/ML or related field.
• Experience with Python or C++.
• Experience with machine learning and statistics.

Responsibilities

• Design and develop metrics to measure model performance and detect anomalies on serving stack.
• Identify novel serving or modeling quality issues using large-scale real user data.
• Collaborate across logging, serving, and analytics to quantify improvements.
• Contribute to reporting, analytics infrastructure, and dashboards.

Skills

Python or C++ experience

Machine learning & statistics

Education

Bachelor's degree in CS/Math/ML or related field

Tools

TensorFlow or similar (e.g., JAX)

LE and Rasta familiarity

Job description

Google DeepMind is seeking a highly skilled ML-focused engineer/researcher to work with researchers and engineers on live experiments, data signals, and model-quality improvements. You will help analyze user behavior and model performance to drive GenAI developments, ensuring safe and ethical AI progress.

In this role, you will contribute to cross-functional projects, from concept to implementation, across live data, serving stacks, and analytics dashboards, with an emphasis on transformer-based