Research Engineer, Paradigms of Intelligence

Requirements:

• 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.).

Nice to Haves:

• 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).

What You'll Be Doing:

• 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.

Perks and Benefits:

• Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
• Opportunities to switch teams and projects as you and the fast-paced business grow and evolve.
• Building a workforce that is representative of the users served.
• Equal employment opportunity regardless of various factors.