Embark on a 12 to 24-month fixed-term contract as a Post-Doctoral Researcher at Google DeepMind India. This role offers invaluable industry experience, allowing you to tackle complex challenges alongside leading scientists and engineers. You will contribute to fundamental and applied research across a broad spectrum of computing areas, with opportunities to influence products used by billions worldwide.

Google DeepMind India is at the forefront of technological innovation, addressing critical challenges that shape the future. Our research endeavors span from foundational discoveries to direct product development, creating technology that impacts daily life for countless individuals. We are committed to advancing the field through regular publications in top-tier conferences and journals, open-sourcing our tools, and integrating cutting-edge research into Google products.

Collaborate with researchers, scientists, and engineers on groundbreaking research and applied problems in computing. Formulate research projects and explore novel machine learning applications aligned with team objectives, under the guidance of research mentors. Conduct impactful research, aiming for high-quality publications and contributions to the field. Design and execute large-scale experiments, developing robust, reusable code for production-ready systems using frameworks like JAX. Deepen understanding of machine learning algorithms and their practical application in driving design decisions.

A PhD degree in a STEM field such as Computer Science, Mathematics, or Statistics, or equivalent practical experience is essential. Proficiency in at least one general-purpose programming language like Python, C++, or Java. Hands-on experience training deep learning models using frameworks like JAX, TensorFlow, or PyTorch. Demonstrated research experience in machine learning or AI techniques, evidenced by open-source projects, campus lab work, research internships, or publications. At least one scientific publication submission to a recognized AI conference (e.g., NeurIPS, CVPR, ICCV, ICLR) is required.

Preferred qualifications include a Master's degree in a STEM field and the ability to collaborate effectively across teams in ambiguous environments.