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Entry Level Computer Vision Deep Learning Engineer Jobs in Branchport, NY

Corning

Sr. Computer Vision Engineer

Painted Post, NY · On-site

$89K - $122K/yr

Scope of Position: A Sr. Computer Vision engineering position in the Corning Environmental ... Experience with machine learning and AI technologies, including CNNs. * Systems Engineering and ...

Constellation Energy

Engineer, Electrical

Shortsville, NY · On-site

$114K - $122K/yr

... vision benefits, including robust wellbeing programs disability and life insurance benefits paid ... Please see minimum qualifications list below for each level*** * Entry Level - $87,000 * Mid-Level ...

Constellation Energy

Engineer, Electrical

Newark, NY · On-site

$114K - $122K/yr

... vision benefits, including robust wellbeing programs disability and life insurance benefits paid ... Please see minimum qualifications list below for each level*** * Entry Level - $87,000 * Mid-Level ...

Constellation Energy

Engineer, Electrical

Victor, NY · On-site

$114K - $122K/yr

... vision benefits, including robust wellbeing programs disability and life insurance benefits paid ... Please see minimum qualifications list below for each level*** * Entry Level - $87,000 * Mid-Level ...

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All JobsComputer Vision Deep Learning Engineer JobsEntry Level Computer Vision Deep Learning Engineer JobsEntry Level Computer Vision Deep Learning Engineer Jobs in Branchport, NY

Entry Level Computer Vision Deep Learning Engineer information

See Branchport, NY salary details

$48.3K

$120.9K

$136.8K

How much do entry level computer vision deep learning engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for entry level computer vision deep learning engineer in Branchport, NY is $120,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,900.00 and $130,800.00 per year, depending on experience, location, and employer.

What types of projects do entry level computer vision deep learning engineers typically work on, and how is their work structured within a team?

As an entry-level Computer Vision Deep Learning Engineer, you can expect to contribute to projects like object detection, image classification, and model optimization for real-world applications. Your tasks may include data preprocessing, training and evaluating neural networks, and writing code to integrate models into products or pipelines. You'll often collaborate closely with senior engineers, data scientists, and product managers, typically working in agile teams where regular code reviews and knowledge sharing are common. This collaborative environment not only helps you learn best practices but also provides opportunities to gradually take on more responsibility as your skills develop.

What does an entry level computer vision deep learning engineer do?

An Entry Level Computer Vision Deep Learning Engineer works on developing and implementing algorithms that allow computers to interpret and understand visual information from the world, such as images or videos. They typically use deep learning techniques, especially neural networks, to build models for tasks like object detection, facial recognition, and image classification. Their responsibilities may include data preprocessing, model training and evaluation, writing code (often in Python), and collaborating with senior engineers on real-world projects. This role is ideal for those who have a strong foundation in machine learning, programming, and mathematics, but are just starting their careers in the field.

What are the key skills and qualifications needed to thrive as an entry level computer vision deep learning engineer, and why are they important?

To thrive as an Entry Level Computer Vision Deep Learning Engineer, you need a solid understanding of computer vision fundamentals, deep learning concepts, and programming skills in languages like Python, along with a relevant degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with OpenCV, and knowledge of version control systems like Git are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate within teams and tackle complex challenges. These skills and qualities are crucial for developing, deploying, and optimizing computer vision solutions that meet real-world business needs.
What cities near Branchport, NY are hiring for Entry Level Computer Vision Deep Learning Engineer jobs? Cities near Branchport, NY with the most Entry Level Computer Vision Deep Learning Engineer job openings:
Entry Level Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Entry Level Computer Vision Deep Learning Engineer job openings in Branchport, NY as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $120,894 per year, or $58.1 per hour.

Sr. Computer Vision Engineer

Corning Incorporated

Painted Post, NY • On-site

$88K - $121K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Corning rating

8.2

Company rating: 8.2 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

87th of 536 rated manufacturers

Job description

Job Summary:
Corning Incorporated is one of the world’s leading innovators in glass, ceramic, and materials science. They are seeking a Sr. Computer Vision Engineer to develop, assemble, test, and deploy optical and computer vision-based measurement systems in support of their Environmental Technologies segment. The role involves collaborating with cross-functional teams to transfer technology from development to manufacturing and improve measurement systems.
Responsibilities:
• Work with a variety of cross functional groups (Development, Quality, IT, Purchasing, Operations) to define, develop and implement optical and computer vision-based measurement and instrumentation systems.
• Transfer technology from early-stage development to a product suitable for use in manufacturing.
• Leverage external suppliers for key technologies or core competencies such as system integration.
• Define Scopes of Work, competitively quote when appropriate, issue Purchase Orders, track supplier work and approve invoices.
• Design experiments and analyze data to identify and implement improvements to measurement systems or production processes.
• Create/update documentation for release to production including Machine Specifications, operating procedures and drawing packages.
• You will also be responsible for training engineering, maintenance and operations in how to use and maintain measurement systems.
• Provide remote and onsite troubleshooting using data and performance analysis of the installed systems.
Qualifications:
Required:
• Bachelors degree required in Engineering (Optics, ME, ECE or EE a plus)
• Minimum of 3 years of hands-on experience with machine vision metrology equipment.
• Training or hands-on experience with vision systems is required.
• 3 years or more experience in Computer vision system development (optics, lighting, cameras, image acquisition, image analysis, laser, 3D measurement)
• Fundamental knowledge of physical optics (principles of optics)
• Knowledge of image processing algorithms (blob analysis, edge finding, morphology, feature extraction, classification, metrology)
• Microsoft Visual Studio programming (C# and Python strongly preferred)
• Experience with machine learning and AI technologies, including CNNs.
• Systems Engineering and integration
• Digital Signal Processing
• Experience with electrical/optical/mechanical installations, including system checkout and troubleshooting
• Strong communication and presentation skills (MS Office programs)
• Data retrieval, plotting and analysis (primarily using Microsoft Excel)
Preferred:
• Master's or PhD in Physics
• Experience with image processing development packages such as Halcon, Matrox Inspector, NI Vision, Cognex, Keyence, or Matlab image processing toolbox
• Experience with machine learning frameworks and libraries, such as TensorFlow or PyTorch.
• Control systems (PLCs)
• Process engineering knowledge. Experienced with design of experiments, statistical analysis and process improvement
• Experience with Metrology, Inspection and Product Quality in support of manufacturing
• Motion Control – ability to integrate motion on imaging platforms
• Computing – Familiar with high performance computing systems
Company:
Corning is a manufacturer of glass, ceramics, and related materials. Founded in 1851, the company is headquartered in Corning, USA, with a team of 10001+ employees. The company is currently Late Stage.

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