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Senior Computer Vision Engineer
- Burlington, Vermont, United States
- Burlington, Vermont, United States
Über
About Trident: Trident Consulting is an award-winning IT/engineering staffing company founded in 2005 and headquartered in San Ramon, CA. We specialize in placing high-quality vetted technology
Some of our recent awards include: 2022, 2021, 2020 Inc. 5000 fastest-growing private companies in America 2022, 2021 SF Business Times 100 fastest-growing private companies in Bay Area Job Description
Job Title: Senior Computer Vision Engineer Location: Burlington, MA (Hybrid-Onsite Monday, Wednesday, Friday) Type of Hire: Contract Pay rate: $65/hr to $71/hr on W2 Duration: 6+ Months About the Role We are seeking a highly skilled Senior Algorithm Engineer to support the high-priority Aurora next-generation project focused on eye tracking and iris registration technologies. This role is ideal for candidates with strong Computer Vision (CV) algorithm development experience and a passion for solving complex real-world imaging challenges in a fast-paced research environment. Key Responsibilities Develop and optimize computer vision algorithms for eye tracking and iris registration applications Improve algorithm robustness and accuracy under challenging imaging conditions Analyze algorithm performance, edge cases, and failure modes using internal and clinical datasets Design and prototype algorithms primarily using classical CV methods with selective ML support Perform benchmarking, statistical evaluations, and robustness analysis Collaborate with Applied Research and Software Engineering teams for solution development and production handoff Required Qualifications Bachelor’s degree required; Master’s or PhD preferred Strong experience in Computer Vision algorithm development Experience with iris detection, eye tracking, feature detection, geometry modeling, or registration algorithms Strong Python programming skills for rapid prototyping and research development Experience evaluating algorithm performance and debugging failure modes Preferred Qualifications Machine Learning exposure supporting CV workflows C++ experience for production support and integration Background in statistics, benchmarking, and evaluation metrics Soft Skills Strong analytical and problem-solving mindset Excellent communication and collaboration skills Ability to work independently in an applied research environment Comfortable working in a fast-paced, deadline-driven environment
Additional Information
All your information will be kept confidential according to EEO guidelines.
Sprachkenntnisse
- English
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