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Computer Vision Engineer Jobs in Buffalo, NY (NOW HIRING)

acv

Machine Learning Engineer IV, Data

Buffalo, NY · On-site

$54 - $71.50/hr

... Engineer IV to join our ML inspection team ... In this role, you'll drive end-to-end computer vision solutions processing hundreds of thousands of ...

acv

Machine Learning Engineer IV, Data

Buffalo, NY · On-site

$54 - $71.50/hr

... Engineer IV to join our ML inspection team ... In this role, you'll drive end-to-end computer vision solutions processing hundreds of thousands of ...

acv

Embedded Systems Engineer IV, R&D

Buffalo, NY · On-site

As an Engineer IV, Embedded Systems within the R&D team, you will serve as a technical anchor for ... and computer vision pipelines. * System Stability & Lifecycle: Design robust fault-detection ...

acv

Embedded Systems Engineer IV, R&D

Buffalo, NY · On-site

As an Engineer IV, Embedded Systems within the R&D team, you will serve as a technical anchor for ... and computer vision pipelines. * System Stability & Lifecycle: Design robust fault-detection ...

acv

Embedded Systems Engineer IV, R&D

Austin, TX · On-site

As an Engineer IV, Embedded Systems within the R&D team, you will serve as a technical anchor for ... and computer vision pipelines. * System Stability & Lifecycle: Design robust fault-detection ...

acv

AI Application Security Architect

Buffalo, NY

ACV's marketplace runs on AI that customers stake real money on: computer vision models that grade ... You will help engineering deliver secure applications across ACV's marketplace, protecting ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Buffalo, NY

Computer Vision Engineer information

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$47K

$117.7K

$133.2K

How much do computer vision engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for computer vision engineer in Buffalo, NY is $117,708.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $127,400.00 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 are the most commonly searched types of Computer Vision Engineer jobs in Buffalo, NY?

The most popular types of Computer Vision Engineer jobs in Buffalo, NY are:

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For Computer Vision Engineer jobs in Buffalo, NY, the most frequently searched job titles are:

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The top searched job categories for Computer Vision Engineer jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Computer Vision Engineer jobs?

Cities near Buffalo, NY with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Buffalo, NY as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $117,708 per year, or $56.6 per hour.

Machine Learning Engineer IV, Data

BetterCloud

Buffalo, NY • On-site

$120 - $150/hr

Other

Posted 29 days ago

Job description

Overview

ACV's Machine Learning organization is looking for a talented Machine Learning Engineer IV to join our ML inspection team. In this role, you’ll drive end-to-end computer vision solutions processing hundreds of thousands of vehicle inspections annually into reliable, actionable insights, directly reducing inspection turnaround time, improving valuation accuracy, and scaling the capabilities of our inspection platform.

You will design and train damage detection models while architecting the high-throughput serving infrastructure needed to keep those models performant under real production loads. As ACV continues to grow, you’ll play a direct role in ensuring our inspection capabilities remain accurate, efficient, and resilient at scale. This role goes beyond executing on a defined roadmap. You’ll identify opportunities, shape solutions end-to-end, and take ownership of outcomes. You connect the dots between stakeholder needs and what’s technically feasible, bringing recommendations grounded in both theory and practical constraints.

Responsibilities
  • Design and train high-performance computer vision models for automated damage detection, focusing on precision, recall, and model robustness.
  • Architect and maintain high-throughput, containerized microservices for model serving using REST/gRPC to ensure low-latency performance.
  • Collaborate with business stakeholders to translate complex inspection requirements into scalable, production‑grade ML solutions.
  • Own the end-to-end model lifecycle, from experimentation and design to deployment and optimization in high‑traffic environments.
  • Design and maintain robust data pipelines using Kafka to ensure high‑fidelity inputs for model serving and inference.
Qualifications
  • Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience.
  • 5+ years of prior computer vision experience.
  • Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL.
  • Experience designing and maintaining visual data annotation pipelines and evaluation frameworks for complex, real‑world image datasets.
  • Experience optimizing high‑latency models for real‑time inference.
  • Backend software engineering experience in the cloud (AWS / GCP) with a focus on microservices (docker) and the ML model development lifecycle.
  • Experience building and maintaining streaming data pipelines (e.g., Kafka) for real‑time model serving.
Preferred Qualifications
  • Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on.
  • Experience designing evaluation frameworks for complex visual data.
  • Experience leading technical design reviews.
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