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Computer Vision Engineer Jobs in New York, NY (NOW HIRING)

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 ...

We have developed a fully integrated grab-and-go retail store enabled by computer vision, which we are now deploying with major brands around the world. We are looking for engineers and data ...

We have developed a fully integrated grab-and-go retail store enabled by computer vision, which we are now deploying with major brands around the world. We are looking for engineers and data ...

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 ยท 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 ยท 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 ...

Role & Mission This VIE is Alta Ares' software engineering presence in the United States - a ... You will contribute to the AI, computer vision, and embedded software stack that underpins Alta ...

Role & Mission This VIE is Alta Ares' software engineering presence in the United States -- a ... You will contribute to the AI, computer vision, and embedded software stack that underpins Alta ...

Showing results 21-40

Computer Vision Engineer information

See New York, NY salary details

$53.5K

$134K

$151.6K

How much do computer vision engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for computer vision engineer in New York, NY is $133,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $145,000.00 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.
What are the most commonly searched types of Computer Vision Engineer jobs in New York, NY? The most popular types of Computer Vision Engineer jobs in New York, NY are:
What are popular job titles related to Computer Vision Engineer jobs in New York, NY? For Computer Vision Engineer jobs in New York, NY, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in New York, NY look for? The top searched job categories for Computer Vision Engineer jobs in New York, NY are:
What cities near New York, NY are hiring for Computer Vision Engineer jobs? Cities near New York, NY with the most Computer Vision Engineer job openings:
Infographic showing various Computer Vision Engineer job openings in New York, NY as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $133,959 per year, or $64.4 per hour.

Senior Computer Vision Data Scientist

PhysicsX

New York, NY โ€ข On-site

$120K - $240K/yr

Full-time

Retirement, PTO

Re-posted 12 days ago


Job description

About us
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.
We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
Senior Data Scientist - Computer Vision & Predictive Maintenance
We are looking for a Senior Data Scientist with deep computer vision expertise to lead the development of physics-informed predictive maintenance systems for high-value industrial equipment. Working directly with major industrial customers, you will build pipelines that fuse periodic inspection imagery with equipment operating history and physics-based inputs to predict remaining component life - helping operators reduce costly unplanned interventions and optimise asset availability.
Who we're looking for
You have a strong research foundation in computer vision and applied deep learning, and you know how to take that foundation into production on real-world industrial problems. You are energised by the challenge of building models that actually work under difficult conditions - sparse data, inconsistent image quality, and high stakes for getting it wrong. You can move fluidly between designing the right architecture and debugging a broken data pipeline.
You are comfortable working directly with domain experts and customers to translate physical intuition into modelling decisions, and you care about producing outputs that engineers can trust and operators can act on.
What you bring
  • Deep expertise in selecting, adapting, and fine-tuning pretrained vision encoders (ViT, DINOv3, ResNet-family or equivalent) for industrial or scientific imaging problems where data is sparse and capture conditions are variable
  • Strong command of gradient-based interpretability methods (Grad-CAM, integrated gradients) and the ability to produce sensitivity maps that make model behaviour reviewable by non-ML domain experts
  • Proven ability to build joint models that combine visual features with heterogeneous inputs including tabular metadata, time-series operating history, and physics-derived signals
  • Hands-on experience with probabilistic or Bayesian output modelling and calibrated uncertainty quantification
  • Production ML mindset - you architect and ship reliable, scalable pipelines deployable within enterprise cloud environments, not just notebooks
  • Comfort with messy, real-world industrial datasets: sparse time series, noisy labels, irregular collection intervals, and data linkage challenges
  • Strong communication skills across technical and non-technical audiences, including the ability to co-develop solutions on-site with customers
  • PhD or equivalent research experience in computer vision, machine learning, or a related field strongly preferred
  • Experience with physics-informed or hybrid ML approaches is a significant plus
  • Domain experience in aerospace, energy, heavy industry, mining, or MRO is helpful but not required - genuine curiosity about engineering domains and asset-intensive operations is essential
And it doesn't stop there ...
Equity options - share meaningfully in the company you're helping to build.
5% contribution to 401(k) - build long-term security with a strong retirement plan.
Free team lunch 1x/week - good food, great company, and space to connect.
Private health insurance - comprehensive cover for you, offering total peace of mind.
Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.
20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.
Personal development - dedicated support for learning, development, and leveling up over time.
Gympass / Wellhub (subsidized) - for you and up to 3 family members, supporting both physical and mental wellbeing.
Flexible Spending Account (FSA) - set aside pre-tax dollars for eligible healthcare expenses.
Watch this space, we're continuing to build this as we grow...
Salary Range
$120,000 - 240,000 depending on experience
Seniority will be assessed throughout our interview process
We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.
We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.