Machine Learning Engineer

ML Engineer (Perception & State Estimation)

About the Role

Join a pioneering robotics team pushing the limits of autonomy. As an ML Engineer, you’ll build the core perception and state estimation engine that allows a multi-agent system to truly understand its world. Your work will transform raw, noisy sensor data into a rich symbolic world model—laying the foundation for advanced decision-making and collaborative autonomy.

What You’ll Do

• Design and implement probabilistic ML algorithms (Bayesian inference, EKFs/UKFs) to handle uncertainty in real-world environments.
• Fuse data from diverse sensors into coherent, reliable world representations.
• Deploy scalable solutions using modern ML frameworks like PyTorch and computer vision tools like OpenCV.
• Collaborate with robotics experts to bring perception models from simulation into real-time systems.

What You’ll Bring

• Strong background in probabilistic ML and state estimation.
• Proficiency in Python and C++.
• Hands-on experience with ML frameworks, computer vision, and sensor fusion.

Bonus Skills

• Experience with UAVs, UGVs, or other robotic platforms.
• Familiarity with ROS 2 and distributed middleware (DDS).
• Knowledge of multi-agent reinforcement learning (MARL) and collaborative robotics.
• Background in simulation environments and real-time systems.

Be part of a team shaping the future of multi-agent autonomy. Apply today and help build the next generation of intelligent robotics.