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Tech Talent Partner | Startup Hiring Insights for Founders & Engineers | Fast, Honest, Scalable | Boston/London
I’m hiring a Machine Learning Engineer to join a robotics team building AI-driven systems for real-time understanding and reasoning in complex environments.
You’ll help architect the core perception engine that transforms raw sensor data into a rich, symbolic model of the world—fueling autonomous decision-making in multi-agent robotic systems.
Focus: Perception, world modeling, sensor fusion, probabilistic inference
Why this role matters:
* Own the ML and reasoning stack powering the system’s world view
* Work across sensor fusion, state estimation, and symbolic modeling
* Collaborate closely with engineering and planning teams to build real-time, deployed systems
What you’ll be doing:
* Build fusion algorithms for heterogeneous sensor inputs (e.g. EO/IR, LiDAR, neuromorphic)
* Train and deploy CV models for object detection, tracking, and classification
* Develop a knowledge manager to maintain symbolic world state and inferred object relationships
* Apply probabilistic methods (EKF/UKF, Bayesian inference) to maintain environmental belief states
* Translate user input into formal, goal-oriented states for planning modules
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology, Science, and Research
* Industries
Robotics Engineering, Software Development, and Information Services
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