Genrobotics
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Thiruvananthapuram · On-site · 2-5 Yrs · Oct 14
201 to 500 Employees · Thiruvananthapuram, India
Hiring: Engineering
What employees say
+ The learning experience is very good and very supportive and young co workers
− The pay will be below average than most of the companies. Management tries to cut cost at every corner.
More reviews on the company profile.
Job description
Overview
We are seeking a highly skilled Reinforcement Learning (RL) Engineer to develop, implement, and optimize RL algorithms for real-world and simulation-based applications.
Responsibilities
- Design, implement, and optimize RL algorithms such as PPO, SAC, TD3, DQN,A3C, TRPO, etc.
- Develop custom reward functions, policy architectures, and learning workflows.
- Conduct research on state-of-the-art RL techniques and integrate into productor research pipelines.
- Build or work with simulation environments such as PyBullet, Mujoco, IsaacGym, CARLA, Gazebo, or custom environments.
- Integrate RL agents with environment APIs, physics engines, and sensor models.
- Deploy RL models on real systems (e.g., robots, embedded hardware, autonomous platforms).
- Optimize RL policies for latency, robustness, and real-world constraints.
- Work with control engineers to integrate RL with classical controllers (PID, MPC, etc.)
- Run large-scale experiments, hyper parameter tuning, and ablation studies.
- Analyse model performance, failure cases, and implement improvements.
- Work closely with robotics, perception, simulation, and software engineering teams.
- Document algorithms, experiments, and results for internal and external stakeholders.
- Strong expertise in Python, with experience in MLframeworks like PyTorch or TensorFlow.
- Deep understanding of:
- Experience with RL libraries (stable-baselines3, RLlib,CleanRL, etc.).
- Experience with simulation tools or robotics middleware(ROS/ROS2, Gazebo).
- Experience in robotics, mechatronic, or embedded systems.
- Experience with C++ for performance-critical applications.
- Knowledge of GPU acceleration, CUDA, or distributed training.
- Experience bringing RL models from simulation to real-world (Sim2Real).
- Experience with cloud platforms (AWS/GCP/Azure).
Qualifications
- Published RL research papers (optional but preferred).
- Location : Technopark, Thiruvananthapuram Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change.
- Applicants are advised to confirm the latest information directly on the company website before applying.
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Job application FAQ
Last updated 3 November 2026
- How do I apply for Reinforcement Learning Engineer at Genrobotics?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Genrobotics may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Reinforcement Learning Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Reinforcement Learning Engineer remote or on-site in Thiruvananthapuram, Keralam?
- This listing is marked on_site with location Thiruvananthapuram, Keralam. Confirm details on the job description before applying.
- What skills matter for this Reinforcement Learning Engineer role at Genrobotics?
- This is a mid-level Reinforcement Learning Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.