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

Rebar

Principal ML Engineer

New York, NY · On-site

Specialization in computer vision is a big plus. * Proven ability to implement, adapt, and extend ... Experience mentoring engineers and establishing ML engineering best practices. * Experience ...

Norbert Health

Applied AI Engineer

Brooklyn, NY · On-site

... computer vision) on integration with their lower-level pipelines Qualifications : Required : • BS in Computer Science, Engineering, or a related field, or equivalent hands-on experience • 4+ ...

Norbert Health

Applied AI Engineer

Brooklyn, NY · On-site

... computer vision) on integration with their lower-level pipelines Qualifications : Required : • BS in Computer Science, Engineering, or a related field, or equivalent hands-on experience • 4+ ...

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 · 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 ...

DHL eCommerce

Project Engineer

Avenel, NJ · On-site

Support computer vision and AI-related automation initiatives, including pilots and trials ... Industrial, System Engineering or Mechanical Engineering is preferred. * 2 years of work experience ...

DHL eCommerce

Project Engineer

Avenel, NJ · On-site

Support computer vision and AI-related automation initiatives, including pilots and trials ... Industrial Engineering, Systems Engineering or Mechanical Engineering is preferred. * 4 years of ...

DHL eCommerce

Project Engineer

Avenel, NJ

Support computer vision and AI-related automation initiatives, including pilots and trials ... Industrial Engineering, Systems Engineering or Mechanical Engineering is preferred. * 4 years of ...

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 ...

Tata Consultancy Services

Agentic AI Engineer

Edison, NJ · On-site

$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 ...

DHL eCommerce

Project Engineer

Avenel, NJ · Hybrid

The Project Engineer will support multiple strategic and tactical projects related to parcel ... Support computer vision and AI-related automation initiatives, including pilots and trials ...

Norbert Health

Applied AI Engineer

Brooklyn, 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 ...

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 ...

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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

$132.9K

$150.4K

How much do computer vision engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for computer vision engineer in Hoboken, NJ is $132,948.00, 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 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.
More about Computer Vision Engineer jobs
What are popular job titles related to Computer Vision Engineer jobs in Hoboken, NJ? For Computer Vision Engineer jobs in Hoboken, NJ, the most frequently searched job titles 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 July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $132,948 per year, or $63.9 per hour.

Principal ML Engineer

Rebar

New York, NY • On-site

Full-time

Medical, Dental, Vision

Re-posted 4 days ago

Job description

Background
Rebar is building the AI operating system for commercial HVAC, Electrical, and Plumbing.
Over the past year our quoting platform has processed tens of thousands of projects across North America and we've doubled our revenue in the first 6 weeks of this year. Our customers include many of the top firms in the industry. Some of these companies are running billion dollar construction projects on workflows that still look like it's 1985.
Construction is 10% of GDP and still massively underserved by software. We are changing that.
We recently raised a $14M Series A from leading construction tech investors and are entering our next phase of growth. We are building a set of AI native products that will define how this industry operates.
We're looking for a Principal ML Engineer to help define the future of AI at Rebar. In this role, you'll combine hands-on technical excellence with long-term technical leadership, driving our strategy for computer vision systems, training infrastructure, and data. You'll work alongside a small, highly capable engineering team to turn cutting-edge research into reliable, production-ready AI systems that solve real problems for our customers.
This role is ideal for someone who enjoys staying deeply technical while shaping how AI is built across an organization. You'll lead by example through architecture, technical direction, mentorship, and execution rather than people management.
Responsibilities
  • Model Training & Development: Design and train deep learning models for layout analysis, image-to-graph, object detection, OCR, and multimodal image-text understanding, among other related tasks. Extend existing architectures where appropriate and develop novel approaches when existing methods fall short.
  • AI Technical Strategy: Define the long-term technical direction for Rebar's AI capabilities. Evaluate emerging research, identify high-impact opportunities, and help shape the roadmap for our machine learning platform and modeling efforts.
  • Data & Training Strategy: Drive the strategy behind dataset creation, labeling, active learning, synthetic data generation, and evaluation. Build systems that continuously improve model quality and create durable competitive advantages through data.
  • Evaluation and Monitoring: Design robust evaluation methodologies, establish meaningful performance metrics, monitor production models, and proactively identify failure modes, regressions, and opportunities for improvement.
  • Technical Leadership: Serve as the technical lead for complex ML initiatives. Mentor engineers, review modeling approaches, establish engineering best practices, and raise the technical bar across the organization through design reviews and technical guidance.
  • Collaboration and Integration: Partner closely with engineering and product leadership to integrate AI capabilities into our platform, balancing research ambition with product impact. Influence architecture decisions and help shape the long-term AI roadmap.

What We're Looking For
You should feel confident designing training pipelines, implementing novel modeling approaches, and solving the real-world challenges that arise when deploying machine learning systems at scale.
We're looking for someone who not only builds exceptional models but also helps define the AI/ML lifecycle for the company. The ideal candidate combines deep technical expertise with strong engineering judgment, the ability to identify high-leverage opportunities, and a passion for helping others build better ML systems.
You enjoy staying close to the code while thinking strategically about data, modeling, infrastructure, and the long-term evolution of AI capabilities.
Required Qualifications
  • Master's degree or PhD in Computer Science, Electrical Engineering, or another relevant field with a strong focus on deep learning. Specialization in computer vision is a big plus.
  • Proven ability to implement, adapt, and extend techniques or architectures from academic and industry literature.
  • Proven track record solving novel deep learning problems and bringing research ideas into production.
  • 4+ years developing and adapting deep learning models using PyTorch or JAX.
  • 3+ years applying deep learning to computer vision problems such as object detection, semantic segmentation, OCR, or document understanding.
  • Experience building production-grade ML systems, including training pipelines, evaluation frameworks, and model deployment.
  • Experience defining evaluation methodologies and data strategies that improve model performance over time.
  • Experience designing active learning and continuous learning systems that keep models improving in production.
  • Demonstrated ability to lead technically complex initiatives and influence engineering decisions across teams.

Nice to Have
  • Experience with synthetic data generation.
  • Experience with post-training of LLMs or VLMs - supervised fine-tuning (SFT), RLHF, and RLVR.
  • Experience optimizing and serving models in production - e.g. ONNX, quantization, and GPU kernels (CUDA/Triton).
  • Published research developing state-of-the-art deep learning models.
  • Experience building ML platforms or training infrastructure.
  • Experience mentoring engineers and establishing ML engineering best practices.
  • Experience deploying and monitoring production ML systems at scale.

Compensation and Benefits
  • Salary: Competitive
  • Equity: Meaningful equity package, commensurate with experience
  • Benefits: Comprehensive medical, dental, and vision coverage
  • Perks: Free lunches and dinners provided

This is a salaried, onsite role located in New York City's beautiful Flatiron district, just minutes away from Madison Square Park and Union Square. Working onsite offers invaluable opportunities for real-time collaboration, creative problem-solving, and building strong connections within our talented and dynamic team. You'll be at the heart of our fast-paced operations, actively contributing to a culture that values engagement, growth, and teamwork.

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