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Entry Level Computer Vision Engineer Jobs in Edison, NJ

Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields. * Strong background in training and fine-tuning large models in an applied setting.

ML Engineer

New York, NY · On-site

$150K - $300K/yr

We're an AI laboratory dedicated to providing engineers with the tools they need to solve the world ... Deep computer vision and VLM experience, ideally on documents, diagrams, or drawings rather than ...

Michal Mankowski, PhD the Research Engineer will join a multidisciplinary team committed to ... computer vision libraries, such as PyTorch, TensorFlow, and OpenCV. Preferred Qualifications:

ML Engineer

New York, NY · On-site +1

$170K - $185K/yr

Bonus: experience with computer vision pipelines, annotation tooling, or ML infrastructure * You have proof of your engineering ability through GitHub projects or work experience What You Might Work ...

Job Title: Entry-Level CNC Programmer / CAD Technician (contract - flexible schedule) Location: Parlin, NJ Type: Contract-to-Hire Compensation: $25 - $32 per hour Contractor Work Model: 100% onsite ...

Job Title: Entry-Level CNC Programmer / CAD Technician (contract - flexible schedule) Location: Parlin, NJ Type: Contract-to-Hire Compensation: $25 - $32 per hour Contractor Work Model: 100% onsite ...

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Entry Level Computer Vision Engineer information

See Edison, NJ salary details

$50.2K

$125.8K

$142.3K

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

As of Jul 14, 2026, the average yearly pay for entry level computer vision engineer in Edison, NJ is $125,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,400.00 and $136,100.00 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 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 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 are popular job titles related to Entry Level Computer Vision Engineer jobs in Edison, NJ? For Entry Level Computer Vision Engineer jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Vision Engineer jobs in Edison, NJ look for? The top searched job categories for Entry Level Computer Vision Engineer jobs in Edison, NJ are:
AI Research Scientist, Reinforcement Learning

AI Research Scientist, Reinforcement Learning

Meta

New York, NY

$122K/yr

Full-time

Re-posted 18 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies


Job description

Meta's Fundamental AI Research lab is seeking a Research Scientist to drive foundational research aimed at advancing physical AI capabilities. We seek to generate advanced engineer designs such as robotic hardware, mobile vehicles, and novel semiconductors. This role will involve heavy software research engineering, such large-scale data manipulation and simulator integration.
AI Research Scientist, Reinforcement Learning Responsibilities:
  • Explore and develop novel post-training paradigms for LLMs using reinforcement learning
  • Explore and develop novel LLM post-training recipes using 3D data
  • Integrate large-scale simulation into LLM post-training
  • Explore mechanical, aerospace, civil, and other engineering disciplines and how to enable LLMs to solve key problems in these domains

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 degree in Artificial Intelligence, Computer Vision (3D), Physical AI, Machine Learning, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Research experience in at least one of the following research areas: reinforcement learning, representation learning, self-supervised learning, multimodal learning, robotics policy development, computer vision (3D), egocentric perception, embodied AI and/or LLMs, control theory, optimization algorithms
  • Experience in C/C++ and Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, JMLR and Computer Vision (CVPR, ICCV, ECCV, TPAMI)
  • This position will require knowledge of post-training for LLMs using reinforcement learning techniques. It will also involve novel modalities such as 3D and engineering domain-specific simulators, so computer vision expertise in 3D is welcome as well
  • Experience integrating and debugging prototype/scientific software-hardware systems including mechanical, aerospace, or civil engineering domain-specific simulation
  • Experience working and communicating cross-functionally in a team environment
  • Prior work experience in the fields of mechanical, aerospace, civil engineering or other engineering domains

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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