About this opportunity
Faction Imaging Inc lists this Robotics & Machine Learning Engineer opportunity in new york, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Faction Imaging is building the intelligence that allows robots to autonomously interact with the human body to collect rich medical data.
Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application.
We're looking for a resourceful and hard-working Robotics Machine Learning Engineer to test, evaluate and improve machine learning systems on real robotic platforms. You'll work closely with experienced engineers to design experiments, benchmark new approaches, and improve the performance and reliability of autonomous systems.
What We're Looking For
Experience operating and testing autonomous robotic systems in a lab environment
Experience collecting and analyzing data with statistical methods
Experience with common robotics sensing hardware: RGB cameras, depth cameras, force sensors, tracking systems, etc.
Experience with real time publish/subscribe communication protocols (e.g. ROS 2)
Experience with multi-threading and asynchronous python
Experience with modern machine learning methods for robotic control: behavior cloning, reinforcement learning, or related learning methods
Extensive experience with the python programming language and related machine learning libraries
Experience in autonomous navigation is a major plus
Familiarity with real time robotic control systems is a plus
Job Details
Faction is located in downtown Manhattan, New York City. This is an in-person job requiring significant percentage of your time on-site.
Why Faction
Faction is tackling a frontier problem in Physical AI: creating robots that can safely perceive and directly interact with the human body. xhmxlyz You'll work alongside experienced engineers on real robotic systems and contribute directly to the mission of expanding access to high-quality medical care.
Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.