Applied Scientist - ML and Robotics

What you'll do

• Research, implement, and evaluate machine-learning manipulation policies integrated with feedback control, estimation, and motion planning.
• Train and validate policies through simulation and real-hardware experiments under real-world variability and uncertainty.
• Collaborate across science and engineering teams to transition research prototypes into scalable production robotics systems.

What they ask for

• PhD, or a Master's degree and 4+ years of science, technology, engineering or related field experience.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience designing, running, and analyzing experiments in simulation and on real robotic hardware.

Nice to have

• Experience developing manipulation policies for contact-rich tasks and integrating robot dynamics, control, or state estimation with data-driven methods.
• Hands-on experience with reinforcement learning, imitation learning, hybrid learning–control, simulation tools, or sim-to-real transfer for robotics.

Pay

142,800.00 - 193,200.00 USD annually (base salary)

Tools

Java, C++, Python

AI focus

Develop machine-learning manipulation policies and learning frameworks using real-world data, simulation, and hybrid physics- and data-driven models; validate learned policies and transition them into production robotics systems.