Swaayatt Robots is seeking motivated and passionate individuals eager to contribute to the cutting-edge fields of autonomous driving and AI. Our vision is to lead globally in these areas, and we aim to attract those who share our drive. Joining our team means working on groundbreaking projects that push technological boundaries and shape the future of transportation. We foster a collaborative environment where innovation and continuous learning are encouraged.
If you're excited to be at the forefront of transformative technologies and ready to take on challenges, join us on this journey. At Swaayatt Robots, you'll have the opportunity to make a real impact and help revolutionize autonomous driving and AI. Be part of our visionary team and help shape the future of these industries. Apply now for a rewarding career with us!
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. RS is 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.
RL Research Scientist is also 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 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
