About Us
Iris Automation Inc is building an AI-based air safety system that helps unpiloted aircraft see the world how pilots do. By ensuring that autonomous aircraft are able to fly safely when other systems fail, the company's technology is the critical missing piece that enables the widespread use of commercial drones, urban air mobility and more. Iris Automation is based in San Francisco and is led by a team with experience at NASA, Boeing, and Nvidia, including PhDs in computer vision. The company has secured 2 patents with 3 additional applications in review, and was recognized by the Association of Unmanned Vehicle Systems International as the most important innovator for its 2020 XCELLENCE award.
The Role
As either the Deep Learning Engineer or Machine Learning 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.
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.
Our Perks
- Medical, Dental, Vision & Short-Term Disability
- 401k Contribution Program
- Flexible PTO and 10 U.S. Holidays
- Work/Home-Life Monthly Stipend
- Learning and Development
We are an equal opportunity employer who values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity and/or expression, sexual orientation, age, marital status, veteran status, or disability status
