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Contractual Computer Vision Engineer Jobs in New York

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$121K - $142K/yr

Required : • Master's or PhD degree in Machine learning / Computer vision • Strong fundamentals: data structures, CV algorithms, and systems programming • Strong C++ skills - this is critical ...

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143K/yr

Master's or PhD degree in Machine learning / Computer vision * Strong fundamentals: data structures, CV algorithms, and systems programming * Strong C++ skills - this is critical for our edge ...

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$117K - $138K/yr

Master's or PhD degree in Machine learning / Computer vision * Strong fundamentals: data structures, CV algorithms, and systems programming * Strong C++ skills - this is critical for our edge ...

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$117K - $138K/yr

Master's or PhD degree in Machine learning / Computer vision * Strong fundamentals: data structures, CV algorithms, and systems programming * Strong C++ skills - this is critical for our edge ...

The Director of Computer Vision will drive the technical vision, research and engineering execution ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ... Due to contractual restrictions, only US Citizens will be considered for this position * If not ...

AI Engineer

Manhattan, NY · On-site

$90 - $120/hr

Now we're looking for a founding computer vision engineer to push this to the next level. The Role We're looking for a hands-on, creative CV engineer who wants to build products that live in the real ...

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Contractual Computer Vision Engineer information

What is the difference between Contractual Computer Vision Engineer vs Contractual Machine Learning Engineer?

AspectContractual Computer Vision EngineerContractual Machine Learning Engineer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; experience in computer vision frameworksBachelor's or Master's in Computer Science, Data Science, or related; strong programming and ML knowledge
Work EnvironmentProject-based, often in tech, automotive, or healthcare industriesSimilar industries, focusing on developing ML models across various applications
Employer & Industry UsageTech companies, research labs, startups focusing on image/video analysisTech firms, startups, research institutions applying ML across domains

Contractual Computer Vision Engineers specialize in developing algorithms for image and video analysis, while Contractual Machine Learning Engineers focus on building broader ML models. Both roles often share similar credentials and work environments, but their core focus areas differ, with computer vision emphasizing visual data processing.

What are the most commonly searched types of Computer Vision Engineer jobs in New York?

The most popular types of Computer Vision Engineer jobs in New York are:

What job categories do people searching Contractual Computer Vision Engineer jobs in New York look for?

The top searched job categories for Contractual Computer Vision Engineer jobs in New York are:

What cities in New York are hiring for Contractual Computer Vision Engineer jobs?

Cities in New York with the most Contractual Computer Vision Engineer job openings:

Computer Vision Engineer (Object Detection & Tracking)

ZeroMark, Inc.

Manhattan, NY • On-site

$122K - $144K/yr

Full-time

Re-posted 14 days ago


Job description

Job Summary:
ZeroMark is a company that builds AI-driven counter-drone systems designed for combat situations. They are seeking a Principal Computer Vision Engineer to develop and optimize advanced computer vision algorithms for aerial object detection and tracking, collaborating with cross-functional teams to enhance their defense systems.
Responsibilities:
• Contribute to the implementation of computer vision algorithms for aerial object detection and tracking.
• Conduct research and stay up-to-date with the latest advancements in computer vision and deep learning to ensure our solutions remain at the forefront of technology.
• Collaborate with cross-functional teams, including software engineers, hardware engineers, and data scientists, to integrate computer vision solutions into our defense systems.
• Optimize and enhance existing algorithms for improved accuracy, efficiency, and real-time performance.
• Analyze and interpret complex data sets to improve detection and tracking accuracy.
• Help ensure compliance with industry standards and regulatory requirements in all developed solutions.
Qualifications:
Required:
• Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on computer vision and machine learning.
• Minimum of 2 years of experience in computer vision and object detection.
• Strong programming skills in Python, C++, and familiarity with relevant libraries such as OpenCV, TensorFlow, PyTorch, etc.
• Proven experience in developing and deploying machine learning and deep learning models in real-world applications.
• In-depth knowledge of image processing, feature extraction, object detection, and tracking algorithms.
• Excellent problem-solving skills, with the ability to think critically and innovate.
• Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.
• Ability to work effectively in a team-oriented, collaborative environment.
Preferred:
• Experience with drone technology and UAV systems.
• Knowledge of radar, LIDAR, and other sensing technologies.
• Experience in 3d perception or similar fields.
• Familiarity with cloud computing platforms and edge computing.
Company:
ZeroMark empowers US and allied forces with cutting-edge defense technology, elevating mission success and safeguarding personnel. Founded in 2022, the company is headquartered in New York, USA, with a team of 2-10 employees. The company is currently Early Stage.