Research Engineer - GenAI Evaluations & Model Enhancement

Google DeepMind; Cambridge (MA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google DeepMind in Cambridge, MA is seeking a research-focused Software Engineer to build and evaluate large-scale AI models, deploy promising ideas, and run experiments across product teams. You will contribute to cutting-edge AI research and collaborate with researchers and engineers worldwide.

We emphasize robust model evaluations, iterative improvements, and cross-functional teamwork to deliver scalable, high-impact AI systems at Google scale.

Qualifications

• Bachelor's degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience.
• 3 years of experience with software development in Python or C++.
• Experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX), crafting model evaluations and hillclimbing model performance.

Responsibilities

• Build rigorous evaluations to systematically measure model performance across various workloads and drive continuous quality hillclimbing.
• Develop modular, adaptable solutions that enable seamless integration across multiple Google product areas.
• Collaborate cross-functionally with Eng, PM, and Data Science partners to translate product requirements and feedback into model quality improvements.

Skills

Python

C++

ML frameworks

Education

Bachelor's degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience.

Tools

PyTorch

TensorFlow

JAX

Job description

Google DeepMind in Cambridge, MA is seeking a research-focused Software Engineer to build and evaluate large-scale AI models, deploy promising ideas, and run experiments across product teams. You will contribute to cutting-edge AI research and collaborate with researchers and engineers worldwide.

We emphasize robust model evaluations, iterative improvements, and cross-functional teamwork to deliver scalable, high-impact AI systems at Google scale.