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Computer Vision Engineer Jobs in Hoboken, NJ (NOW HIRING)

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$121K - $142K/yr

They are seeking a lead deep learning engineer to develop computer vision models and optimize them for real-time inference on edge devices. Responsibilities : • Design, fine-tune, and deploy ...

Norbert Health

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 ...

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY

$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 ...

Norbert Health

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 ...

Norbert Health

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 ...

Motorola

Director of Computer Vision

New York, NY

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 ...

Navigate AI

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 ...

Kitware

3D Computer Vision Researcher

New York, NY · On-site

$125K - $170K/yr

Team Description: Kitware's computer vision team is a leader in the creation of cutting-edge ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

PhysicsX

Senior Computer Vision Data Scientist

New York, NY · On-site

$120K - $240K/yr

We are building an AI-driven simulation software stack for engineering and manufacturing across ... Senior Data Scientist - Computer Vision & Predictive Maintenance We are looking for a Senior Data ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Hoboken, NJ

Computer Vision Engineer information

See Hoboken, NJ salary details

$53.1K

$133K

$150.5K

How much do computer vision engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for computer vision engineer in Hoboken, NJ is $132,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,000.00 and $143,900.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

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

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

More about Computer Vision Engineer jobs

What job categories do people searching Computer Vision Engineer jobs in Hoboken, NJ look for?

The top searched job categories for Computer Vision Engineer jobs in Hoboken, NJ are:

What cities near Hoboken, NJ are hiring for Computer Vision Engineer jobs?

Cities near Hoboken, NJ with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Hoboken, NJ as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $132,948 per year, or $63.9 per hour.

Computer Vision Engineer (Object Detection & Tracking)

ZeroMark, Inc.

Manhattan, NY • On-site

$122K - $144K/yr

Full-time

Re-posted 5 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.

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