1

Internship Machine Vision Engineer Jobs in Massachusetts

Applications Engineer Department: Methods Automation - Sales/Applications Engineering Methods ... Stay current with emerging robotic technologies, AI, machine vision systems, and automation trends.

Applications Engineer Department: Methods Automation - Sales/Applications Engineering Methods ... Stay current with emerging robotic technologies, AI, machine vision systems, and automation trends.

Mechanical & Controls Engineer

Billerica, MA · On-site

$88K - $114K/yr

Support installation and integration of inline machine vision and inspection systems. * Assist with ... Internship, co-op, or research experience with automation, controls, or roll-to-roll systems is ...

Mechanical & Controls Engineer

Billerica, MA · On-site

$88K - $114K/yr

Support installation and integration of inline machine vision and inspection systems. * Assist with ... Internship, co-op, or research experience with automation, controls, or roll-to-roll systems is ...

Mechanical & Controls Engineer

Billerica, MA · On-site

$88K - $114K/yr

Support installation and integration of inline machine vision and inspection systems. * Assist with ... Internship, co-op, or research experience with automation, controls, or roll-to-roll systems is ...

Software Engineer II

Canton, MA · On-site

$103K - $141K/yr

Software Engineer II Mission of the Role This position will be located at our Canton, MA or ... Machine Vision, Algorithms & Emerging Technologies * Design, implement, and optimize classical and ...

next page

Showing results 1-20

Internship Machine Vision Engineer information

What types of projects do internship machine vision engineers typically work on, and how do they collaborate within the team?

As an Internship Machine Vision Engineer, you will often be involved in projects that focus on developing and testing computer vision algorithms, working with image processing tools, and supporting the integration of machine vision systems into larger automation solutions. You’ll collaborate closely with senior engineers, software developers, and sometimes hardware teams to validate solutions and troubleshoot issues. Regular meetings, code reviews, and shared project management tools help ensure smooth communication and learning opportunities, fostering both technical growth and teamwork.

What are the key skills and qualifications needed to thrive as an internship machine vision engineer, and why are they important?

To thrive as an Internship Machine Vision Engineer, you generally need a background in computer science, electrical engineering, or a related field, with foundational knowledge in image processing and computer vision algorithms. Familiarity with programming languages such as Python or C++, experience with tools like OpenCV, and exposure to machine learning frameworks are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are the soft skills that set outstanding candidates apart. These competencies are crucial for efficiently developing, testing, and deploying vision solutions that address real-world automation and inspection challenges.

What does an internship machine vision engineer do?

An Internship Machine Vision Engineer assists in developing and implementing computer vision algorithms to enable machines or robots to interpret visual data. Their tasks often include image processing, object detection, camera calibration, and working with various sensors. Interns typically support senior engineers in testing, data collection, and model optimization, gaining hands-on experience with real-world applications. This role offers valuable exposure to fields like automation, robotics, and artificial intelligence, helping interns build a foundation for a career in machine vision.
What are the most commonly searched types of Machine Vision Engineer jobs in Massachusetts? The most popular types of Machine Vision Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Internship Machine Vision Engineer jobs? Cities in Massachusetts with the most Internship Machine Vision Engineer job openings:

Industrial Automation Applications Engineer - Machine Vision

Oxipital AI, Inc.

Bedford, MA • On-site

Full-time

Medical, Vision, Life

Re-posted 27 days ago


Job description

Oxipital AI is on a mission to revolutionize the manufacturing industry with its cutting-edge AI-enabled machine vision solutions. These solutions drive greater resilience, operational efficiency, and sustainability in the most complex and critical manufacturing processes. As a fast-growing company striving to make a difference every day, we are seeking a technically driven Industrial Automation Applications Engineer - Machine Vision/Sr. Solutions Engineer to support the growth and adoption of our AI enabled vision inspection and vision guided robotic platforms across global manufacturing sectors. Oxipital AI serves a broad range of discrete and process manufacturing industries where visual intelligence, precision inspection, and robotic automation deliver measurable value. Key verticals include Food & Beverage Manufacturing (contamination detection and AI-guided sorting), Consumer Goods & Industrial Packaging, Life Sciences Medical Devices and Pharmaceutical Manufacturing, and Advanced Electronics.

The ideal candidate will bridge the gap between customers and our engineering team—translating customer needs into technical requirements, demonstrating the value of our solutions, and performing successful proof-of-concept deployments that drive new business opportunities. Working closely with sales and marketing teams, this role will play a critical part in scaling Oxipital AI’s market presence and enabling manufacturers to achieve new levels of precision, efficiency, and intelligence in production

If you’re excited by cutting-edge technology, energized by fast-paced collaboration, and motivated by the opportunity to help manufacturers achieve a new standard of operational excellence — we want to hear from you!

Primary Responsibilities:

  • Act as a bridge between customers, sales, and engineering—ensuring customer requirements are accurately captured and reflected in technical solution development.
  • Work closely with the Business Development Managers to support pre-sales function, including evaluating opportunities and projects for technology alignment with a potential client’s project objectives and to define project performance criteria.
  • Translate customer needs into clear technical specifications and collaborate with internal sales, engineering, and operations teams to ensure solution alignment.
  • Lead technical presentations, demos, and PoC projects for potential customers.
  • Prepare and deliver technical results documentation and ROI analyses for prospective clients.
  • Travel to customer sites to support the following objectives: demos, training, technical discussions, installs, post-install support.
  • Manage large-scale capital equipment and robotics projects from concept through delivery, developing detailed project plans, schedules, and risk mitigation strategies while coordinating communication between Oxipital AI, integrator partners, and key customer stakeholders to ensure seamless execution and successful outcomes.
  • Serve as the primary point of contact for project execution, facilitating clear, proactive communication between customers, integrators, and internal leadership to ensure expectations, deliverables, and technical requirements are fully aligned
  • Provide transparent project progress updates and milestone reporting to Oxipital AI senior management, identifying potential risks or delays early and proposing actionable solutions to maintain delivery commitments.
  • Act as the local project manager, including developing standardized workflows, documentation practices, and project governance models that will support the company’s growth and operational excellence.
  • Collaborate with the marketing team to provide technical details for compelling marketing materials — including case studies, application notes, and demo content that highlight technical capabilities and customer value.

Requirements

  • Bachelor’s degree in Mechanical Engineering or related field.
  • At least 5 years experience with machine vision or robotics.
  • Strong understanding of image processing and machine learning.
  • Demonstrated experience managing multiple technical projects at once.
  • Ability to explain technical concepts to non-technical stakeholders.
  • Experience creating demos or PoC systems in an industrial environment.
  • Strong communication and presentation skills.
  • Working knowledge and understanding of Robotics, PLC, or Controls Engineering
  • Experience with CRM; Salesforce preferred
  • Willingness to travel for customer engagements in Industrial environment up to 50%.

Preferred

  • Programming experience
  • Experience working with Staubli, Fanuc and ABB robots
  • Project management experience
  • Experience using SOLIDWORKS