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Salary
≈ $107k – $286k per year (Estimated)
Location
In office (Yavne)
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 27, 2026. First seen by Alion on Jul 22, 2026.

Overview
Company
Impact
Profile match
Shifters AI develops and enables teams of robots to move autonomously through complex terrain.

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.

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