Perception Scientist for Marine Autonomy
Sea Machines is a fast-growing startup specializing in autonomous technology for marine vessels. We’re passionate about applying practical A.I. to the massive global ocean transportation market. Our products provide ships and workboats the intelligence to work remotely and give maritime operators the tools to effectively communicate with them. Based in Boston and operating globally, the company is crewed by an experienced team of mariners, engineers, coders, and autonomy scientists. Our culture is dynamic, collaborative and biased towards execution.
Sea Machines is venture-funded and we’ve introduced our first product, the Sea Machines 300. We’re located on the East Boston waterfront in historic Jeffries Point, with quick access to the T and water taxis.
We are seeking a Perception Scientist to lead the next stage of perception R&D at Sea Machines which tackles the exciting challenges of moving the world’s fleets to the era of autonomous operations. You will work with a range of perception sensors (AIS, radar, camera, lidar), and fuse live data streams. A focus will be on machine vision, including SLAM, object detection, object tracking, visual domain understanding, and sensor calibration.
Responsibilities and Duties
In this role, you will be responsible for selecting and integrating available perception software & sensors and optimize for the marine domain as well as create new perception techniques and software to advance the research in the field for on-water transit operations.
Qualifications and Skills
D. in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace, Controls, or a related field, with a publication record on relevant topics.
Proficiency developing software for complex products using C, C#, C++, Python, OpenCV, TensorFlow, Keras, Theano, and ROS.
Experience collaborating with other functional teams to seamlessly integrate software and hardware systems.
Excellent communication and writing skills.
Experience with building autonomous systems containing both perception and control.
Deep understanding of estimation theory and filtering theory
Working knowledge of modern machine learning methods.
Working knowledge of planning and control theory.
Understanding and appreciation of hardened industrial systems