Research Scientist: Reinforcement Learning
2 months ago
**Research Scientist: Reinforcement Learning**:
- Bhopal
- Full Time
- Experience: 0 - 3 years
**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.
**Preferred qualification**:
- 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
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