Reinforcement Learning Internship (Summer 2026, Bipedal Locomotion)

About Tuesday

Tuesday Lab builds delightful robots. We are driven by a desire to make everyday life easier and more fun through cutting-edge robotics. If you love watching videos of robots helping out around the house, deploy new policies onto your lab’s robot just to see how they do, and take inspiration from sci-fi rather than real life, you should come work at the Lab.

We are engineers, researchers, and builders who love living among our creations. Our mission is to make the magical world of animated objects accessible to everyone.

Graduate Student Co-Op/Internship

We are seeking a talented graduate student for our bi-pedal locomotion team to help us bring our robots to life. Over the 12+ weeks you’ll spend with us, you will be responsible for fine-tuning bipedal locomotion policies and deploying them onto our physical robot hardware.

This is a high-impact, hands-on role for someone who loves seeing their models actually work on a physical system, not just in simulation. You will be critical in bridging the gap between bleeding edge robotics research and real-world, helpful, and delightful robot behavior. If you have ever tried to make your lab robot do a backflip because you were bored on a Friday night, this is the role for you!

Responsibilities:

• Train robot policy models for naturalistic walking using techniques like DeepMimic or AMP to achieve robust locomotion and expressive emotes.

• Iterate on model performance and training environment to bridge the sim2real gap with our custom hardware

• Test and validate model performance on the physical robot, troubleshooting issues that span from the model's "understanding" to its physical execution.

• Collaborate with our hardware and software teams to integrate the ML-driven behaviors into the robot's autonomy stack.

Required Qualifications:

• Academic status: currently enrolled in a graduate-level (MS or PhD) computer science or robotics degree program.

• ML Skillset: Proven experience training robotic locomotion policy models from scratch on new hardware. Hands-on experience deploying models onto real-world robots.

• Robotics Skillset: Familiarity with robotics middleware (like ROS/ROS2) and the challenges of working with physical hardware (sensors, actuators).

• A portfolio of projects (e.g., from GitHub, a personal blog, or academic papers) demonstrating hands-on robotics and ML integration.

Nice-to-haves:

• Experience specifically with training bipedal locomotion policies, especially in IsaacSim/IsaacLab

• Experience with generating physically realistic but expressive motion using character control techniques

About You:

• Technical Excellence: Deep knowledge of modern ML and robotics with a demonstrated ability to design, implement, test, and iterate quickly.

• Product Focus: You believe in home robotics and will do whatever it takes to make the robot's behaviors reliable and delightful for our customers.

If you don’t have these qualifications, but you really want to do this job, you should apply for it anyway. This is a startup: passion and work ethic count for a lot.

What Tuesday Offers:

• The opportunity to play a critical role in developing the future of home robotics. You will be contributing to our robot’s most important behaviors and your design decisions will make the difference between a useful robot and a dangerous one.

• Work alongside people with deep expertise who love playful applications and are excited about building the future.

• Freedom to rapidly iterate, contribute to the technical direction of the company, and contribute novel and impactful solutions to important problems in robotics.

Fraud Alert: Please look out for scams and bad actors. We will only ever email you from the email domain @tuesdaylab.com, and we will never ask for payment or sensitive info over email.