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Entry Level Computer Vision Deep Learning Engineer Jobs in Wakefield, MA

Sick AG

Software Engineer II

Canton, MA · On-site

$103K - $141K/yr

Employ advanced techniques-such as deep learning-to enhance system accuracy, robustness, and ... Experience designing or deploying machine vision / computer vision systems, including image ...

Sick AG

Software Engineer II

Canton, MA · On-site

$103K - $141K/yr

Employ advanced techniques-such as deep learning-to enhance system accuracy, robustness, and ... Experience designing or deploying machine vision / computer vision systems, including image ...

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Entry Level Computer Vision Deep Learning Engineer information

See Wakefield, MA salary details

$51.1K

$128.1K

$145K

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

As of Jul 11, 2026, the average yearly pay for entry level computer vision deep learning engineer in Wakefield, MA is $128,104.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $138,600.00 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 Wakefield, MA are hiring for Entry Level Computer Vision Deep Learning Engineer jobs? Cities near Wakefield, MA with the most Entry Level Computer Vision Deep Learning Engineer job openings:
Entry Level Computer Vision Deep Learning Engineer jobs near you
Postdoctoral Associate

Postdoctoral Associate

MIT Human Resources

Cambridge, MA • On-site

Other

Re-posted 27 days ago

Job description

POSTDOCTORAL ASSOCIATE, Mechanical Engineering - The 77 Lab, to conduct research at the intersection of computer vision, computer graphics, deep learning, digital health, and interactive simulation; and develop AI-driven methods for video-based human movement analysis, with an emphasis on sensing, pose estimation, skeleton-based learning, and implementation on mobile edge devices such as smartphones and tablets for estimating clinical scores from patient videos. In parallel, the candidate will contribute to the development of high-fidelity Unity-based simulation environments for human-in-the-loop experimentation, operator training, data generation, and multimodal system evaluation.

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Our mission is to advance a vibrant and diverse work community where individuals and groups thrive and contribute to MIT's excellence. We offer Support, Services, and Programs to enhance your work life. We're here to help. MIT is committed to helping employees achieve a healthy balance between their careers and the full lives they lead off-campus. Explore all of MIT's Work & Life resources, including MyLife Services, which provides 24/7 access to a network of experts available to help with life’s challenges.

Industry

Human resource programs administration

Company size

1 - 10 Employees

Headquarters location

Cambridge, MA, US

Year founded

2014

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