Gemini Post-Training ML Engineer (Hybrid)

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

Job summary

Google is hiring a Gemini Post-training Software Engineer, DeepMind, to advance next-generation AI agents. You will design, train, and evaluate models, focusing on reinforcement learning in multimodal environments. The role is based in the US, with preferred locations in Mountain View or New York.

You should have a CS degree, 5+ years in ML, Python, and experience with LLMs/NLP. Deep learning, scalability, and AI safety are key aspects of the work at Google DeepMind.

Qualifications

• Bachelor’s degree in Computer Science, a similar field, or equivalent practical experience.
• 5 years of experience designing, training, and evaluating ML models.
• Experience in Python programming.
• Experience in test writing for ML purposes either in TensorFlow or similar for post-silicon data collection, and pre-silicon modeling and correlation.
• 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

Python

ML training

LLMs/NLP

TensorFlow

Experience 5y

Education

Bachelor’s degree in CS or equivalent

Job description

Google is hiring a Gemini Post-training Software Engineer, DeepMind, to advance next-generation AI agents. You will design, train, and evaluate models, focusing on reinforcement learning in multimodal environments. The role is based in the US, with preferred locations in Mountain View or New York.

You should have a CS degree, 5+ years in ML, Python, and experience with LLMs/NLP. Deep learning, scalability, and AI safety are key aspects of the work at Google DeepMind.