What are the responsibilities and job description for the Computer Vision/Machine Learning Engineer position at Tbwa Chiat/Day Inc?
Computer Vision / Machine Learning Engineer
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
WHY WE’RE HERE
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Anduril’s Tactical Reconnaissance and Strike Division (TRS) is responsible for design and development of Anduril’s fleet of small warfighting and surveillance drones deployed around the world, including Ghost, Anvil, Altius, and Bolt. We work in close coordination with specialist teams like Perception, Autonomy, and Manufacturing to solve some of the hardest problems facing our customers. We are looking for software engineers and roboticists excited about creating a powerful robotics stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications.
We are looking for a Computer Vision / Machine Learning Engineer to apply the latest research to solve our toughest problems.
Must be eligible to obtain and hold a US DoD Security Clearance.
This position will be located at our headquarters in Costa Mesa, CA (relocation benefits provided.)
WHAT YOU’LL DO
- Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field
- Develop and maintain core libraries and runtime applications
- Integrate classical and geometric methods in computer vision with ML methods
- Work with ML and Data Infra team to construct various benchmarks for analyzing system performance
CORE QUALIFICATIONS
Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic change Detection
Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, RGB-D and LIDAR Sensor Fusion
PREFERRED QUALIFICATIONS
BENEFITS
US Salary Range
138,000 - $207,000 USD
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and / or training, critical skills, and / or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees.
Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process.
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Salary : $138,000 - $207,000
