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Computer Vision Engineer Jobs in New York (NOW HIRING)

Generalist Software Engineer + Computer Vision-focused Software Engineer Lofty is creating 3D digital copies of real physical spaces. We've built software to ingest a novel type of 3D model and make ...

Generalist Software Engineer + Computer Vision-focused Software Engineer Lofty is creating 3D digital copies of real physical spaces. We've built software to ingest a novel type of 3D model and make ...

Staff Software Engineer

New York, NY · On-site

$230K - $299K/yr

About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the ... What the job involves As a Staff Software Engineer on the Perception team, you will be a key ...

Senior Software Engineer

New York, NY · On-site

$200K - $260K/yr

About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the ... Job Summary As a Senior Software Engineer on the Pilots team within the Perception organization ...

Degree in Robotics, Computer Vision, Electrical Engineering, Computer Science, or a related field * 5+ years of experience designing and deploying machine vision systems in robotics or automation ...

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Engineering Employment Type: Full Time Location: New York, NY Description Clearview AI is the ... Build, train, evaluate, and deploy computer vision and multimodal models, taking them from early ...

Perception Engineer

New York, NY · On-site

$175K - $225K/yr

Degree in Robotics, Computer Vision, Electrical Engineering, Computer Science, or a related field * 5+ years of experience designing and deploying machine vision systems in robotics or automation ...

Degree in Robotics, Computer Vision, Electrical Engineering, Computer Science, or a related field * 5+ years of experience designing and deploying machine vision systems in robotics or automation ...

As a Machine Learning Engineer, you will play a critical role in shaping the future of cooking ... From computer vision models that understand what is happening inside an oven to embedded AI systems ...

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 ...

Showing results 21-40

Computer Vision Engineer information

See New York salary details

$53.1K

$132.9K

$150.4K

How much do computer vision engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for computer vision engineer in New York is $132,942.00, 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 do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

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 engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

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.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
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:
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What job categories do people searching Computer Vision Engineer jobs in New York look for? The top searched job categories for Computer Vision Engineer jobs in New York are:
What cities in New York are hiring for Computer Vision Engineer jobs? Cities in New York with the most Computer Vision Engineer job openings:
Infographic showing various Computer Vision Engineer job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $132,942 per year, or $63.9 per hour.

Corporate Account Executive -- Computer Vision Dev Tools (Growth-stage)

David Joseph & Company

New York, NY • Hybrid

$100K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Corporate / Growth Account Executive

Snapshot: $100K base · $200K OTE (50/50, uncapped) + equity · New York (Flatiron) · Hybrid (3 days in office) · No visa sponsorship · 4+ yrs sales / 2+ yrs closing

THE OPPORTUNITY

Our client is a well-funded, growth-stage developer platform (~70 people, founded 2019) that lets developers manage image data, annotate datasets, train computer-vision models, and deploy via API or edge. This is a growth-focused, full-cycle role owning high-intent inbound leads from demo through expansion and renewal across SMB, mid-market, and junior-enterprise accounts adopting computer vision.

WHAT YOU'LL DO

Qualify and manage inbound leads with discovery, demos, and closes (30–90 day cycles). Grow and expand customer accounts, including renewals with self-serve clients. Collaborate cross-functionally to remove blockers and inform product. Monitor pipeline daily and improve the sales process. Handle technical objections and communicate value to developer audiences.

WHAT SUCCESS LOOKS LIKE

First 90 days: ramp on a technical product, convert inbound pipeline, and hit early targets. First year: consistently close and expand accounts, and help refine the growth playbook.

MUST-HAVES

4+ years high-volume sales with a proven track record; 2+ years closing (SaaS at startups preferred); comfort selling technical products to developers.

NICE-TO-HAVES

Computer vision, ML, developer-tools, or data-tooling sales experience; technical background or genuine technical curiosity.

COMPENSATION & BENEFITS

$100K base (USD), $200K OTE on a 50/50 split with uncapped commission, competitive equity.

LOCATION & WORK MODEL

Hybrid, 3 days in office in the Flatiron district, New York.

HIRING PROCESS

Our team will walk you through the full interview process when we connect.

ABOUT THIS SEARCH

This is a confidential search managed by our recruiting team on behalf of our client. We've kept the company name off the posting — apply and we'll share full details and introduce you directly. We're an equal-opportunity partner and welcome applicants of all backgrounds; compensation reflects the role's posted range.