Gemini AI Engineer: RL & Multimodal

Google DeepMind; New York (NY); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Job summary

Google DeepMind seeks a software engineer to contribute to Gemini, advancing digital agents and deploying them into production. The role emphasizes scalable ML model development, RL expertise, and collaboration across AI domains in a fast-paced environment.

We value experience in Python, ML testing, NLP, and Generative AI, with a focus on scalable, responsible AI systems that benefit billions of users.

Qualifications

• 5+ years designing, training, and evaluating ML models.
• Experience in Python programming.
• Experience with ML testing for post-silicon data collection and pre-silicon modeling.
• Experience with Large Language Models, NLP, or Generative AI.

Responsibilities

• Make core contributions to Gemini that advance what digital agents can do and are deployable into production.
• Identify model areas of improvement.
• Train and evaluate agents across various digital environments.
• Focus on multi-step reinforcement learning in multimodal, digital environments.

Skills

ML model design

ML model training

Python

ML testing

NLP / Generative AI

Education

Bachelor's degree in CS or related

Tools

TensorFlow

Job description

Google DeepMind seeks a software engineer to contribute to Gemini, advancing digital agents and deploying them into production. The role emphasizes scalable ML model development, RL expertise, and collaboration across AI domains in a fast-paced environment.

We value experience in Python, ML testing, NLP, and Generative AI, with a focus on scalable, responsible AI systems that benefit billions of users.