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

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · Hybrid

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · Hybrid

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

Tata Consultancy Services

Agentic AI Engineer

Edison, NJ

$116K - $139K/yr

... computer vision tasks. • Write clean, efficient, and well-documented Python code for data ... teams (data engineers, researchers, and product managers) to integrate AI/ML solutions into ...

Norbert Health

Applied AI Engineer

New York, NY · On-site

Partner with the algorithms team (signal processing, computer vision) on integration with their lower-level pipelines What we're looking for * BS in Computer Science, Engineering, or a related field ...

NBCUniversal

Deep Learning Engineer

Manhattan, NY

$160K - $175K/yr

Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in ... Proven experience as a DL Engineer or Applied Research Engineer in a fast-paced environment.

Norbert Health

Applied AI Engineer

Brooklyn, NY

Partner with the algorithms team (signal processing, computer vision) on integration with their lower-level pipelines What we're looking for * BS in Computer Science, Engineering, or a related field ...

Norbert Health

Applied AI Engineer

Brooklyn, NY

Partner with the algorithms team (signal processing, computer vision) on integration with their lower-level pipelines What we're looking for * BS in Computer Science, Engineering, or a related field ...

Norbert Health

Applied AI Engineer

New York, NY · On-site

Partner with the algorithms team (signal processing, computer vision) on integration with their lower-level pipelines What we're looking for * BS in Computer Science, Engineering, or a related field ...

NBCUniversal

Deep Learning Engineer

Manhattan, NY

Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in ... Proven experience as a DL Engineer or Applied Research Engineer in a fast-paced environment.

NBCUniversal

Deep Learning Engineer

Manhattan, NY

Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in ... Proven experience as a DL Engineer or Applied Research Engineer in a fast-paced environment.

New York University

Post Doctoral Associate

New York, NY · On-site

$62K - $80K/yr

Description Post Doctoral Associate NYU Tandon School of Engineering Post-Doctoral Positions in Robotics, Controls, AI, Computer Vision, and Hardware Security The Control/Robotics Research Laboratory ...

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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 Jun 15, 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 are Computer Vision Engineers?

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 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.

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 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 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.
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Computer Vision Engineer jobs near you
AI / Machine Learning Engineer

AI / Machine Learning Engineer

1Kosmos

Iselin, NJ • On-site

Full-time

PTO

Posted 4 days ago

Job description

Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation.

1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance.

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments.

This role blends R&D with production engineering—you’ll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization.

Key Responsibilities

  • Design and implement AI models for image classification, object detection, OCR, and feature extraction.
  • Develop real-time image quality assessment and capture guidance algorithms.
  • Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets.
  • Implement model optimization techniques for mobile (on-device) and cloud inference.
  • Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data.
  • Integrate ML models into production-grade APIs and mobile SDKs.
  • Monitor, evaluate, and continuously improve model accuracy and performance.
  • Collaborate with product and engineering teams to align AI capabilities with business goals.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (or equivalent experience).
  • 3+ years of experience building and deploying ML models in production.
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar).
  • Experience with computer vision libraries (e.g., OpenCV) and OCR technologies.
  • Strong understanding of deep learning architectures for image and text recognition.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and API development.
  • Strong problem-solving skills and ability to work in fast-paced environments.
  • Based in the NJ / NY area; Hybrid working model.
Preferred Qualifications
  • Experience with model quantization and optimization for mobile deployment.
  • Knowledge of synthetic data generation and data augmentation techniques.
  • Background in security, liveness detection, or anomaly detection.
  • Exposure to compliance and data privacy regulations (GDPR, CCPA).
  • Contributions to open-source ML projects or published research.

Benefits

  • Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems.
  • Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC.
  • Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada.
  • Flexibility First: Unlimited PTO, and 2 days WFH