Research Engineer, Info Retrieval & AI Systems — Equity

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

Job summary

DeepMind, a Google AI lab, seeks a Research Engineer for Gemini Information Retrieval in Mountain View, CA. You will advance information retrieval models and scale promising ideas for real-world use, collaborating with cross-functional teams.

You will work on LLMs, IR, and multi-stage training pipelines, contributing to state-of-the-art AI research while aligning with product and deployment goals.

Qualifications

• PhD or equivalent practical experience in a related field.
• 5+ years of ML experience with focus on LLMs or information retrieval.
• 3+ years of software engineering in Python, C++, JAX, or PyTorch.

Responsibilities

• Uncover opportunities at Gemini, Search, factuality, continual learning, deep research, and more.
• Analyze models and model-driven products beyond current leaderboards and measure ideal behavior.
• Use findings to create practical interventions to improve models across all downstream surfaces.
• Collaborate with product teams (e.g., Search, YouTube) to scale research into production environments.

Skills

Machine learning

LLMs

Software engineering

Python

C++

JAX

PyTorch

Education

PhD in Computer Science / Data Science / AI / ML or related field

Tools

Python

C++

JAX

PyTorch

Job description

DeepMind, a Google AI lab, seeks a Research Engineer for Gemini Information Retrieval in Mountain View, CA. You will advance information retrieval models and scale promising ideas for real-world use, collaborating with cross-functional teams.

You will work on LLMs, IR, and multi-stage training pipelines, contributing to state-of-the-art AI research while aligning with product and deployment goals.