# Reinforcement Learning Algorithms Engineer

> Shifters · Yavne, Israel (Hybrid) · Full-time · Posted 2026-07-22

**Workplace:** hybrid

**Department:** R&D

## Description

Shifters is looking for a Reinforcement Learning Algorithms Engineer to develop and deploy advanced whole-body control policies for our autonomous quadruped robots. You will train robust behaviors for dynamic locomotion, balance, recovery, manipulation, and coordinated loco-manipulation tasks using large-scale physics simulation. The role includes reward and curriculum design, motion imitation, sim-to-real transfer, and close collaboration with robotics, mechatronics, and embedded teams to validate policies on real hardware.

## Requirements

Strong Python programming skills.

Practical experience with reinforcement learning, including policy-gradient methods such as PPO.

Experience developing, training, and evaluating algorithms in simulation.

Strong problem-solving skills and the ability to work independently and as part of a multidisciplinary team.

Experience with computer vision, ROS 2, robotics, or embedded computing platforms is an advantage.

Experience deploying algorithms on physical robotic systems is a strong advantage.

## Apply

[Apply at Shifters](https://apply.workable.com/shifters-ai/j/6049C82D30/apply)

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