Senior Research Engineer (Mumbai)

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in skilled but personal life, interests you- you would enjoy your career with Quantiphi! Research Scientist – Reinforcement Learning

Position Overview In this role, you will drive the development of high-performing and resource-efficient reinforcement learning (RL) methods, tailored for the unique challenges of robotics, physical AI, and autonomous systems. As a core member of the Digital Twins team, you will collaborate with researchers and ML engineers to design RL-driven solutions for complex industrial environments, and integrate them seamlessly with high-fidelity simulations and real-world data pipelines. Responsibilities ● Design, implement, and optimize RL, imitation learning for a variety of systems including robotics, scheduling and routing. ● Build scalable, transferable, and production-ready codebases using PyTorch/JAX. ● Explore and prototype novel learning approaches that push the boundaries of efficiency and adaptability. ● Mentor and lead a team for publications, patents, and open research collaborations. ● Independently identify opportunities, propose solutions, and execute with minimal oversight while aligning with evolving company needs. Must-Have Qualifications ● Ph.D. or M.S. in Computer Science, Artificial Intelligence, Robotics, Engineering, Operations Research or a closely related field, with strong emphasis on RL. ● (PhD + 2) / (MTech + 5) years of research experience in RL with a strong publication record in top venues ● Strong programming skills in Python, with proven expertise in PyTorch or JAX, and a track record of writing clean, modular, and deployable code. ● Solid foundation in machine learning with specialization in RL, imitation learning. ● Familiarity with advanced ML architectures such as graphs and transformers. ● Self-starter mindset: industrious, independent, and able to generate ideas and drive them forward without waiting for direction. ● Excellent problem-solving skills and adaptability to shifting research directions. ● Strong collaboration skills, with experience working in interdisciplinary and fast-paced teams. Nice-to-Have Qualifications ● Familiarity with LLMs, agentic AI and vision models is a plus. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Apply on Kit Job: kitjob.in/job/4lv5vt