Gemini Post-training Software Engineer

About the role

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.

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.

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

[https://www.google.com/about/careers/applications/benefits/].

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.