Google

Gemini Post-training Software Engineer, DeepMind

Google • $174K — $252K *
Mountain View, CA 94040In-Person
Consumer Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field, or equivalent experience.
  • 5+ years designing, training, and evaluating machine learning models.
  • Proficient in Python programming.
  • Experience in test writing for ML with TensorFlow or similar tools for data collection and modeling.
  • Familiarity with Large Language Models, NLP, or Generative AI.

Responsibilities

  • Contribute significantly to the Gemini project to enhance digital agent capabilities for production deployment.
  • Identify and implement improvements for machine learning models.
  • Train and assess digital agents in diverse environments.
  • Specialize in multi-step reinforcement learning within multimodal digital settings.

Benefits

  • Work location flexibility between Mountain View, CA and New York, NY.
  • Opportunity to engage in cutting-edge AI projects.
Full Job Description
info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

Minimum qualifications:
  • Bachelor's degree in Computer Science, a similar field, or equivalent practical experience.
  • 5 years of experience designing, training, and evaluating machine learning models.
  • Experience in Python programming.
  • Experience in test writing for ML purposes either in Tensor flow or similar for post-silicon data collection, and pre-silicon modeling and correlation.
  • Experience with Large Language Models, NLP, or Generative AI.

Preferred qualifications:
  • Experience in building, scaling, and training/fine-tuning AI models and systems.
  • Deep expertise in Reinforcement Learning.


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.

About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Enterprise Technology
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ
GOOGL
* Ladders Estimates

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