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Entry Level Computer Vision Engineer Jobs in Massachusetts

Winaxis

AI/ML Engineer

Boston, MA · On-site

$35 - $45/hr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$30 - $35/hr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

VideaHealth

Senior Machine Learning Engineer

Boston, MA · On-site

$170K - $205K/yr

About the position: We're looking for a Senior Machine Learning Engineer with deep expertise in ... and computer vision teams. This is an opportunity to design, build, and scale machine learning ...

VideaHealth

Senior Machine Learning Engineer

Boston, MA

$113K - $155K/yr

About the position: We're looking for a Senior Machine Learning Engineer with deep expertise in ... and computer vision teams. This is an opportunity to design, build, and scale machine learning ...

SynergisticIT

Machine Learning Engineer

Boston, MA

Good understanding about the mainstream deep learning models from multiple domains: computer vision, NLP, reinforcement learning, model optimization etc. * Skilled in the following programming ...

CarGurus

Machine Learning Operations Engineer

Boston, MA · On-site

$124K - $149K/yr

... computer vision, and instant market value; develop, implement, and integrate production-quality ... Master's degree (or foreign equivalent) in Computer Science, Data Science Computer Engineering ...

SynergisticIT

Junior Java Developer

Boston, MA

Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools * Excellent ... entry-level position. The additional skills and project work with hands-on experience building ...

Tutor

Robotics Software Engineer

Watertown, MA · On-site

As a Robotics Software Engineer, you will develop systems that enable robots to perform complex ... computer vision (deep or classical) • Experience with infra and devtools (systemd, Docker ...

Anduril Industries

Firmware Engineer

Lexington, MA · On-site

The team is heavily involved in utilizing computer vision, perception, electro-optical, infrared ... ABOUT THE JOB The Imaging team is seeking a Firmware Engineer to help design a new product lines.

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All JobsEntry Level Computer Vision Engineer JobsEntry Level Computer Vision Engineer Jobs in Massachusetts

Entry Level Computer Vision Engineer information

See Massachusetts salary details

$53K

$132.7K

$150.2K

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

As of Jun 21, 2026, the average yearly pay for entry level computer vision engineer in Massachusetts is $132,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,800.00 and $143,600.00 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 Massachusetts? For Entry Level Computer Vision Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Vision Engineer jobs in Massachusetts look for? The top searched job categories for Entry Level Computer Vision Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Entry Level Computer Vision Engineer jobs? Cities in Massachusetts with the most Entry Level Computer Vision Engineer job openings:
Entry Level Computer Vision Engineer jobs near you

AI/ML Engineer

Winaxis

Boston, MA • On-site

$35 - $45/hr

Full-time

Posted 18 days ago

Job description

About the Role

We are seeking a talented and innovative AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that solve real-world business problems. The ideal candidate should have strong expertise in machine learning algorithms, data processing, model deployment, and cloud technologies.

Key Responsibilities
  • Design, develop, train, and optimize Machine Learning and Deep Learning models.
  • Build and maintain scalable data pipelines for model training and inference.
  • Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques.
  • Deploy machine learning models into production environments using MLOps best practices.
  • Work with large datasets and perform data preprocessing, feature engineering, and model evaluation.
  • Collaborate with data engineers, software developers, and business stakeholders to understand requirements and deliver AI solutions.
  • Monitor model performance and implement continuous improvements.
  • Research and evaluate emerging AI technologies, frameworks, and industry trends.
  • Develop APIs and microservices for AI model integration.
  • Ensure data security, model governance, and compliance standards are maintained.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field.
  • Strong programming skills in Python.
  • Experience with Machine Learning libraries such as:
    • TensorFlow
    • PyTorch
    • Scikit-learn
    • XGBoost
  • Strong understanding of:
    • Supervised and Unsupervised Learning
    • Deep Learning
    • Neural Networks
    • Natural Language Processing (NLP)
    • Computer Vision
    • Reinforcement Learning (preferred)
  • Experience with SQL and NoSQL databases.
  • Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow.
  • Experience working with cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with version control systems like Git.
Preferred Qualifications
  • Experience with Generative AI technologies and Large Language Models (LLMs).
  • Hands-on experience with:
    • LangChain
    • LlamaIndex
    • Hugging Face
    • OpenAI APIs
    • Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)
  • Experience in RAG (Retrieval-Augmented Generation) implementations.
  • Knowledge of MLOps tools and CI/CD pipelines.
  • Experience with Databricks and Apache Spark.
Technical Skills
  • Python
  • SQL
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • Apache Spark
  • MLflow
  • Docker
  • Kubernetes
  • AWS/Azure/GCP
  • Git
  • REST APIs
  • Generative AI & LLMs
Soft Skills
  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Ability to work independently and in a team environment.
  • Strong attention to detail and commitment to quality.
Nice to Have
  • AI Agent Development
  • Multi-Agent Systems
  • Prompt Engineering
  • Fine-tuning LLMs
  • Knowledge Graphs
  • MLOps Certification
  • Cloud Certifications (AWS, Azure, GCP)