AI/ML Job: Deep Learning or ML Research Engineer

Iris Automation

Deep Learning or ML Research Engineer at Iris Automation

San Francisco, California, United States 🇺🇸   (Posted Jun 15 2019)

About the company
Iris Automation Inc is building an AI-based collision avoidance system that helps drones see the world how pilots do. By enabling Unmanned Aircraft Systems (UAS) to fly Beyond-Visual-Line-of-Sight (BVLOS), Iris is the critical missing piece that takes commercial drone operations from theoretical to functional. The company is based in San Francisco and is led by a team with experience at NASA, Boeing, and Nvidia, including PhDs in computer vision. Iris is a key partner on multiple FAA UAS Integration Pilot Programs, a participant of NASA's Unmanned Traffic Management program and a participant of Transport Canada's BVLOS Technology Demonstration Program.

Job description
As either the Deep Learning Engineer or ML Research Engineer, you will be at the center of our core mission, building state of the art technologies. You will be researching new and innovative computer vision and deep learning solutions to perception problems in autonomous drones.

What You’ll Do:

Craft, implement and test computer vision and deep learning algorithms for tasks such as object detection, object tracking, image segmentation, object classification, style transfer, and pose estimation.

Generate innovative ideas and build them into systems delivered to customers.

Investigate, prioritize, and implement process changes to address data problems on a large self-collected, labeled, and growing dataset of drone footage.

Skills & requirements
DEEP LEARNING ENGINEER Qualifications and Skills:

Masters degree in a related field (Mathematics, Physics, Computer Vision, Machine Learning/AI) or equivalent experience.

At least one year of professional experience working hands on with Deep Learning and Computer Vision in at least two of the following subjects: object tracking, object detection, object classification, pose estimation, style transfer, domain adaptation, or GANs.

Ability to quickly iterate real-world solutions based on theoretical understanding.

Desirable Skills:

Familiarity with Python, C++, CUDA, or the Nvidia TensorRT library.

Experience with drones, cameras, or mobile robotics.

Experience working with simulators to generate large amounts of data.

ML RESEARCH ENGINEER Qualifications and Skills:

PhD in a related field (Mathematics, Physics, Computer Vision, Machine Learning/AI) or Masters degree with 4 years of professional experience.

Extensive prior experience with Deep Learning and Computer Vision.

Advanced proficiency with Python and C++ programming.

Prior exposure to a minimum of three of the following subjects: 3D reconstruction, object tracking, feature detection, object detection, object classification, pose estimation, style transfer, domain transfer, GANs.

Ability to quickly iterate real-world solutions based on theoretical understanding.

Desirable Skills:

Familiarity with the Nvidia TensorRT library.

Experience with drones, cameras, or mobile robotics.

Experience working with simulators to generate large amounts of data.

Apply now!  
 

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