We are looking for a Machine Learning Engineer to join our Perception Team. You will build the core perception and reasoning engine for our flagship multi-agent system. This role is responsible for architecting the software that transforms raw, noisy sensor data into a rich, symbolic world model. This team will develop and implement the algorithms for managing perception inputs and maintaining a knowledge manager based on such inputs.

Who we are

About the Role

You'll form part of the Perception Team. This team unlocks the mastermind’s understanding and reasoning about its environment.

<aside> 💡

This is an on-site position, the successful candidate will be expected to work from the office at least 3 days a week.

</aside>

What you’ll get to do

• Multi-Sensor Fusion: Design and implement algorithms that manage the fusion of heterogeneous sensor streams (e.g., EO/IR, LiDAR, and neuromorphic cameras) into a single, coherent picture of the world.
• Object Recognition: Build and deploy models for real-time object detection, classification, and tracking, transforming raw data into structured, classified objects with unique IDs and states.
• World Modeling: Develop the Knowledge Manager, the central repository for abstract and symbolic world knowledge. You will be responsible for inferring the logical relationships between objects and agents.
• Probabilistic State Estimation: Implement and maintain the belief state over the environment, a core component of a knowledge manager.
• Goal Inference: Create the logic that translates high-level user commands into the formal, predicate-based goal states.
• API Collaboration: Work closely with the Systems and Behaviour teams to define and refine APIs.

What we’d like to see

• A strong theoretical foundation and practical experience in probabilistic machine learning (e.g., Bayesian inference, Gaussian Processes, state estimation filters like EKFs/UKFs).
• Demonstrable experience with modern ML frameworks (PyTorch preferred) and computer vision libraries (OpenCV) applied to real-world sensor data.
• Hands-on experience with sensor fusion techniques for combining data from sources like cameras and LiDAR.
• Production-quality coding skills in both Python and C++.

What will set you apart

• Proven experience developing and deploying software for real-world robotic systems (e.g., UAVs, UGVs)