Robotics ML Engineer: Real-World Control Policies | Rozgoo | Rozgoo

TYSON JAY MANAGEMENT PTE. LTD.

Singapore, SG · On-site · Full-time

Robotics ML Engineer: Real-World Control Policies

₹60K – ₹98KPosted 1 month ago

Location: Singapore, SG
Work mode: On-site
Employment: Full-time
Salary: ₹60K – ₹98K
Experience: Mid-level

About the role

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Tyson Jay Management Pte Ltd in Singapore seeks a hands-on researcher to design and train reinforcement learning and imitation learning policies for movement and control tasks on real hardware. You will run experiments with physical robots and work to close the sim-to-real gap through debugging and domain adaptation. The role involves building robust simulation environments and data pipelines to accelerate policy iteration, inspecting deployments for failure modes, and collaborating closely wit…

Requirements

Hands-on experience with physical robots
Experience with reinforcement learning and imitation learning
Ability to build simulation environments and data pipelines

Skills

reinforcement learning
imitation learning
robotics
sim-to-real transfer
reinforcement learning debugging
data pipelines
domain adaptation
simulation environments
movement and control policies
robot hardware experimentation

About the company

TYSON JAY MANAGEMENT PTE. LTD.

Posted via Adzuna

How to apply

Apply Now takes you to Rozgoo, where auto-apply can submit your application for this role. Updated 8 days ago.

TYSON JAY MANAGEMENT PTE. LTD.

Robotics ML Engineer: Real-World Control Policies

₹60K – ₹98K