Gemini Post-training Software Engineer, DeepMind

Google Inc.; New York (NY); Hybrid; USD 174,000 - 252,000; Full time

Job summary

Google DeepMind seeks a Gemini Post-training Software Engineer to advance AI agents and multi-modal systems. You will design, train, and evaluate models for production readiness across Gemini projects, with emphasis on post-training tuning and deployment.

This role requires a CS degree, 5 years ML experience, Python, ML testing, and background with NLP/Generative AI and LLMs. You will join a world-class AI lab focused on responsible innovation and scalable systems.

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 (TensorFlow or similar).
• Experience with Large Language Models, NLP, or Generative AI.

Responsibilities

• Make core contributions to Gemini that advance AI agents.
• Identify model areas of improvement.
• Train and evaluate agents across digital environments.
• Focus on multi-step reinforcement learning in multimodal environments.

Skills

Python

ML models

ML testing

NLP

Generative AI

Education

Bachelor's degree in Computer Science

Tools

TensorFlow

Job description

Gemini Post-training Software Engineer, DeepMind

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• 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.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

About the job

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.