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Entry Level Computer Vision Engineer Jobs in Pittsburgh, PA

You'll work at the cutting edge of computer vision and machine learning applied to sports ... We value publication records and engineering excellence equally. This is a full-time, onsite ...

Research Engineer

Pittsburgh, PA · On-site +1

$122K - $215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Research Engineer

Pittsburgh, PA · On-site +1

$122K - $215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

RVE (an Ardurra company) is seeking an Entry-Level Civil Engineer to join our team in Pittsburgh ... Proficient in AutoCAD ® Civil 3d computer aided design software * Proficient in the Microsoft ...

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Entry Level Computer Vision Engineer information

See Pittsburgh, PA salary details

$47.1K

$118K

$133.5K

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

As of Sep 15, 2026, the average yearly pay for entry level computer vision engineer in Pittsburgh, PA is $117,969.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,200.00 and $127,700.00 per year, depending on experience, location, and employer.

What does an entry level computer vision engineer do?

An Entry Level Computer Vision Engineer assists in developing computer systems that can interpret and process visual information from the world, such as images and videos. They typically work with machine learning algorithms, neural networks, and image processing techniques to solve problems like object detection, facial recognition, and image classification. Their work often involves data annotation, model training, testing, and optimizing algorithms under the guidance of senior engineers. Entry level engineers usually have a background in computer science or related fields and are familiar with programming languages such as Python and libraries like OpenCV and TensorFlow.

What types of projects do entry level computer vision engineers typically work on, and how much collaboration is involved?

Entry level computer vision engineers often work on tasks like annotating datasets, developing and testing algorithms for image or video analysis, and supporting the integration of computer vision models into existing applications. These projects usually require close collaboration with data scientists, senior engineers, and sometimes product managers to ensure models meet performance requirements. It's common to participate in code reviews and team meetings, fostering a supportive learning environment. As you gain experience, you'll likely take on more complex responsibilities and contribute to larger project components.

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

To thrive as an Entry Level Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, often supported by a relevant degree. Familiarity with programming languages like Python or C++, experience with deep learning frameworks (such as TensorFlow or PyTorch), and knowledge of OpenCV are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork set top candidates apart. These skills and tools are essential for developing, optimizing, and implementing computer vision solutions in real-world applications.

What is the difference between Entry Level Computer Vision Engineer vs Computer Vision Analyst?

AspectEntry Level Computer Vision EngineerComputer Vision Analyst
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of ML and CV frameworksBachelor's in CS, Data Science, or related; strong analytical skills
Work EnvironmentTech companies, R&D labs, startups; focus on developing algorithms and modelsData analysis teams, research firms; focus on interpreting CV data and insights
Employer & Industry UsageTech, automotive, robotics, healthcareMarket research, consulting, security, and surveillance

Entry Level Computer Vision Engineers focus on developing and implementing computer vision algorithms, often working in R&D or product teams. In contrast, Computer Vision Analysts primarily interpret and analyze CV data to generate insights. Both roles require a strong technical background, but their daily tasks and industry applications differ.

What are the most commonly searched types of Computer Vision Engineer jobs in Pittsburgh, PA?

The most popular types of Computer Vision Engineer jobs in Pittsburgh, PA are:

What are popular job titles related to Entry Level Computer Vision Engineer jobs in Pittsburgh, PA?

For Entry Level Computer Vision Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Entry Level Computer Vision Engineer jobs in Pittsburgh, PA look for?

The top searched job categories for Entry Level Computer Vision Engineer jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Entry Level Computer Vision Engineer jobs?

Cities near Pittsburgh, PA with the most Entry Level Computer Vision Engineer job openings:

Infographic showing various Entry Level Computer Vision Engineer job openings in Pittsburgh, PA as of September 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, and 6% Contract. Highlights an 59% In-person, and 41% Remote job distribution, with an average salary of $117,969 per year, or $56.7 per hour.

Research Scientist, Computer Vision (PhD)

Pittsburgh, PA

Meta
Internet and IT • 10K+ employees

$122K/yr

Full-time

Posted 8 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz


Job description

Meta is seeking a Research Scientist to advance computer vision and AI research in support of Meta's broader mission to build the next generation of intelligent systems. In this role, you will conduct original research in areas such as visual perception, 3D scene understanding, image and video recognition, and generative vision models. You will collaborate with a multidisciplinary team of researchers and engineers to translate research insights into scalable AI capabilities that power Meta's products and platforms, from augmented and virtual reality experiences to large-scale content understanding systems.
Research Scientist, Computer Vision (PhD) Responsibilities:
  • Design and conduct original research in computer vision, including 3D reconstruction, scene understanding, and generative image or video modeling
  • Develop and train deep learning models using large-scale image and video datasets, iterating on architectures to improve accuracy, efficiency, and generalization
  • Implement and evaluate novel computer vision algorithms, benchmarking against state-of-the-art methods on standard and internally curated datasets
  • Contribute to the design and curation of training datasets and annotation pipelines for vision tasks
  • Translate research findings into production-ready prototypes in collaboration with engineering teams
  • Write and publish research results at leading computer vision and machine learning venues
  • Participate in code reviews and contribute to shared research codebases, maintaining code quality and reproducibility
  • Collaborate with cross-functional partners in product, engineering, and data science to align research directions with applied goals
  • Instrument experiments with appropriate logging and evaluation metrics to support data-driven decision making
  • Identify opportunities to improve existing vision systems and propose incremental or novel research directions to the team

Minimum Qualifications:
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Currently has, or is in the process of obtaining, a PhD in computer vision, machine learning, computer science, or a related field
  • 2+ years of research experience in computer vision, including work on 3D reconstruction, SLAM, or related areas
  • Experience in developing and training deep learning models using frameworks such as PyTorch
  • Experience implementing and evaluating computer vision algorithms and conducting rigorous experimental comparisons
  • Experience communicating research findings through publications, technical reports, or presentations to peers
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Experience with large-scale vision-language models, self-supervised learning, or generative image and video modeling
  • Experience with 3D vision tasks including depth estimation, novel view synthesis, neural radiance fields, or multi-view reconstruction
  • Demonstrated software engineering experience through internships, open-source contributions, or research engineering roles
  • Proven track record of publications at leading computer vision or machine learning venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, or SIGGRAPH

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$122,000/year to $181,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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