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

Manulife

Senior Machine Learning Engineer

Boston, MA · Hybrid

$107K - $199K/yr

Research Computer Vision (CV) and Natural Language Processing (NLP) algorithms to address technical ... learning engineering, computer vision engineering, or perception engineering experience. Employer ...

VideaHealth

Senior Machine Learning Engineer

Boston, MA · On-site

$170K - $205K/yr

... and computer vision teams. This is an opportunity to design, build, and scale machine learning ... Deep, demonstrable expertise in at least one area of ML engineering, such as predictive and tabular ...

Tutor

Robotics Software Engineer

Watertown, MA · On-site

... learning systems • Building data labeling frontends • Optimizing compilers across various ... computer vision (deep or classical) • Experience with infra and devtools (systemd, Docker ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$30 - $35/hr

... Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

... Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

... Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$35 - $45/hr

Deep Learning * Neural Networks * Natural Language Processing (NLP) * Computer Vision ... Prompt Engineering * Fine-tuning LLMs * Knowledge Graphs * MLOps Certification * Cloud ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$32 - $35/hr

... Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and ...

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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 Aug 12, 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 are popular job titles related to Entry Level Computer Vision Deep Learning Engineer jobs in Wakefield, MA? For Entry Level Computer Vision Deep Learning Engineer jobs in Wakefield, MA, the most frequently searched job titles are:
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
Infographic showing various Entry Level Computer Vision Deep Learning Engineer job openings in Wakefield, MA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $128,104 per year, or $61.6 per hour.

Computer Vision / Machine Learning Engineer

AIToolboard

Boston, MA • On-site

$82.66 - $123.98/hr

Other

Posted 6 days ago

Job description

Jobs / Computer Vision / Machine Learning Engineer

Computer Vision / Machine Learning Engineer

Contractor

About the Role

Computer Vision / Machine Learning Engineer (Contract)Contract Length: 6 monthsWork Arrangement: Hybrid (onsite 3 days/week in Greater Boston)Computer Vision / Machine Learning Engineer to support an active, production-focused initiative. This role is centered on improving detection and tracking accuracy for object-counting systems operating in real-world, high-throughput environments.The ideal candidate has hands-on experience building and deploying computer vision models, working with multimodal sensor data, and optimizing inference pipelines for edge deployment.

What You’ll Work On
  • Enhancing object detection, segmentation, and tracking accuracy in operational systems
  • Developing and deploying models into validation and pre-production environments
  • Improving real-time performance and reliability on edge hardware
Key Responsibilities
  • Model Development: Train, validate, and deploy computer vision models, with an emphasis on instance segmentation
  • Tracking & Fusion: Implement tracking approaches that combine color and depth data to maintain object persistence across frames
  • Data Quality: Support data curation efforts and audit external annotations to ensure high-quality ground truth
  • Performance Optimization: Tune inference pipelines for low-latency execution on edge platforms
Technical Environment
  • Computer Vision & ML: Instance Segmentation, Object Tracking
  • Sensor Data: RGB + Depth (basic multi-sensor fusion)
  • Edge & Optimization: NVIDIA-based edge hardware, TensorRT or similar acceleration tools
Qualifications
  • Proven experience delivering production-grade ML or CV systems
  • Strong software engineering fundamentals (version control, testing, CI/CD)
  • Experience deploying models beyond experimentation into real environments
  • Ability to meet strict accuracy and performance benchmarks
  • Comfortable working within cloud-only data environments with controlled access policies
Nice to Have
  • Experience optimizing models for edge or embedded systems
  • Familiarity with real-time or near–real-time vision pipelines
  • Background in industrial, robotics, or high-volume operational settings
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