Research Scientist Reinforcement Learning

The RL Research Scientist (RS) at Swaayatt Robots will be responsible for conceptualizing, theorizing, and developing novel decision-making algorithmic frameworks to enable autonomous vehicles to negotiate complex, stochastic, and adversarial traffic situations. You are expected to work at the intersection of theoretical computer science (ML, RL, game theory, graph theory, heuristic search, mathematical optimization), motion planning, and pure and applied mathematics. As an RL Research Scientist, you will also be expected to optimize and scale the existing proprietary algorithmic frameworks at Swaayatt Robots, such as the Off-Shift Policy framework, Two-Lanes Overtaking Policy framework, and the Multi-Agent Intent Analysis and Negotiation framework. These algorithmic frameworks typically require working at the intersection of the following areas: RL, Inverse-RL, ML, Heuristic Search, Topology Theory, Mathematical Optimization, Graph Theory, Manifold Alignment. Requirements: - M Tech/MS/PhD in EECS or relevant areas (PhD in ML/RL/Robotics/Aero-Astro), or equivalent research experience - Proficiency in C/C++ and Python programming languages - Deep knowledge in machine learning, reinforcement learning, and probabilistic graphical models - Strong knowledge in mathematical optimization (convex, numerical, non-differential convex) - Track record of publication in Tier-1 robotics or ML conferences - Previous experience in robotics/AI R&D startup outside India is a bonus If you meet the requirements and are interested in this exciting opportunity, please send your resume to career@swaayatt.com.,