Gemini Post-training Software Engineer, DeepMind

Google; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Bonus target

Equity grant

Benefits

Job summary

Google is seeking software engineers with deep expertise in AI/ML to design, train, and evaluate models at scale. You will work on projects spanning information retrieval, distributed systems and AI across Google products and DeepMind collaborations.

Ideal candidates have 5+ years designing ML models, strong Python skills, and experience with NLP/LLMs, plus familiarity with TensorFlow and post-silicon data considerations.

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 TensorFlow or similar for post-silicon data collection, and pre-silicon modeling and correlation.
• Experience with Large Language Models, NLP, or Generative AI.

Responsibilities

• Develop, train and evaluate ML models at scale for Google products.
• Design robust ML systems and contribute to AI research demonstrations.
• Collaborate with cross-functional teams to integrate AI capabilities.

Skills

Python programming

ML model design

NLP / LLM experience

Education

Bachelor’s degree in CS or equivalent

Tools

TensorFlow

Job description

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

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.