Info Task Research Engineer for Gemini

Google; United States; On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Bonus target

Job summary

Google DeepMind is seeking a Research Engineer for the Gemini Information Task to advance state-of-the-art information retrieval and AI-powered reasoning capabilities. You will design experiments, build scalable systems, and collaborate with cross-disciplinary teams to push research into production.

The role emphasizes strong ML foundations, software engineering in Python and C++, and experience with JAX or PyTorch. Expect impactful work across large-scale data, models, and product integrations.

Qualifications

• Bachelor's degree or equivalent practical experience in CS or a related technical field.
• 3 years of experience in machine learning with focus on LLMs or information retrieval.
• 3 years of software engineering with Python, C++, JAX or PyTorch, including multi-stage training pipelines.

Responsibilities

• Uncover strategic opportunities at Gemini, Search, factuality, continual learning and deep research.
• Analyze models and model-driven products beyond current leaderboards and measure ideal behavior.
• Develop practical interventions and modeling innovations to improve models across surfaces.
• Collaborate with product teams like Search and YouTube to scale research into production.

Skills

Machine Learning

Python

C++

JAX/PyTorch

Education

Bachelor's degree in CS/related field

Tools

JAX

PyTorch

Python

Job description

Google DeepMind is seeking a Research Engineer for the Gemini Information Task to advance state-of-the-art information retrieval and AI-powered reasoning capabilities. You will design experiments, build scalable systems, and collaborate with cross-disciplinary teams to push research into production.

The role emphasizes strong ML foundations, software engineering in Python and C++, and experience with JAX or PyTorch. Expect impactful work across large-scale data, models, and product integrations.