Minimum qualifications: - Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- One or more scientific publication submissions for conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ALIFE, GECCO etc.).
Preferred qualifications: - Experience in differentiable simulations and the intersection of deep learning with physical or biological systems (e.g., Artificial Life/ALife, morphogenesis, or dynamic texture synthesis).
- Experience developing real-time interactive systems or large-scale dataset modeling (e.g., inverse modeling of complex textures).
- Experience in mathematical foundation including Statistical Field Theory, Linear Algebra, and Stochastic Processes, evidenced by academic honors (e.g., National Olympiad medals or thesis awards).
- Proficiency in deep learning frameworks (PyTorch, JAX).
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.
Paradigms of Intelligence (Pi), a research team at Google, brings together an interdisciplinary group of researchers, engineers, and philosophers to explore the fundamental building blocks of intelligence and the conditions under which it can emerge. Just as intelligence arose through billions of years of evolution, we believe that embracing a bottom-up approach - while drawing on insights from the physical, biological, and social sciences - will allow us to develop more efficient, adaptable, and human AI.
Responsibilities - Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
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.
