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Perception Lead - AI/ML/Robotics

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

United Kingdom

Offer summary

Qualifications:

Advanced degree in Computer Science or related field, Extensive experience in machine learning and computer vision, Proven track record in algorithm development, Proficiency in Python or C++ with ML frameworks, Strong background with ROS in robotics systems.

Key responsabilities:

Lead design and optimization of perception algorithms
Develop sensor fusion techniques for robust accuracy
Integrate perception with navigation and reasoning systems
Oversee sensor calibration and improve existing solutions
Mentor team members and foster a culture of innovation

Skillsbay Limited

2 - 10 Employees

See more Skillsbay Limited offers

Job description

We are seeking a Perception Lead to head our Perception team, responsible for developing and optimizing the computer vision and sensor fusion systems that enable our humanoid robots to perceive and understand their environment. The ideal candidate will possess deep expertise in machine learning, computer vision, and sensor technologies, with a strong background in object detection, semantic segmentation, and sensor fusion. This person will work closely with the Navigation, Reasoning, and Locomotion leads to ensure the robot’s perception capabilities are seamlessly integrated into the overall system architecture

Responsibilities

Lead the design, implementation, and optimization of computer vision algorithms for object detection, semantic segmentation, and 3D scene understanding in dynamic environments.
Develop and refine sensor fusion techniques to combine data from cameras, LIDAR, RADAR, IMUs, and other sensors to create a robust and accurate perception system.
Integrate perception algorithms with the robot’s navigation and reasoning systems to enable real-time decision-making and autonomous behavior.
Oversee and improve sensor calibration processes to ensure precise alignment and synchronization of multi-sensor data.
Design and implement object recognition and localization algorithms to enable the robot to identify and interact with objects in its environment accurately.
Collaborate closely with the Reasoning, Navigation and Locomotion teams to align perception strategies with the robot's movement and environmental interaction requirements.
Evaluate and improve existing perception solutions based on real-world deployment feedback and data, ensuring reliable performance in varied operational conditions.
Ensure seamless integration of perception components within the robot's software architecture, including working with frameworks such as ROS.
Mentor and guide team members, fostering a culture of innovation, technical excellence, and continuous improvement.

Expertise

Advanced degree in Computer Science, Electrical Engineering, Robotics, or a related field.
Extensive experience in machine learning, computer vision, and sensor fusion technologies.
Proven track record in developing algorithms for object detection, semantic segmentation, and 3D scene understanding.
Proficiency in programming languages such as Python or C++, with strong experience in machine learning frameworks (e.g., TensorFlow, PyTorch).
Strong experience with ROS and its application in perception systems for robotics.
Demonstrated ability to lead technical teams and manage complex projects.
Excellent communication and collaboration skills, with a demonstrated ability to work effectively across interdisciplinary teams.

Preferred Qualifications

Experience with perception systems for humanoid robots or other complex robotic platforms.
A strong publication record in the fields of computer vision, machine learning, or robotic perception.
Passion for robotics and a drive to push the boundaries of what is possible.
Familiarity with real-time perception system optimization and the integration of AI-based models for enhanced sensor fusion and scene understanding.

Benefits