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Internship Machine Vision Engineer Jobs in Franklin, MA

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.

Application Engineer

Quincy, MA · On-site

$90 - $150/hr

Your heart beats for Machine Vision? Started as a spin-off of the Technical University of Munich, MVTec Software GmbH has developed into a leading international software developer for industrial ...

Field Application Engineer

Quincy, MA · On-site

$90 - $130/hr

Your heart beats for Machine Vision? Started as a spin-off of the Technical University of Munich, MVTec Software GmbH has developed into a leading international software developer for industrial ...

Software Engineer II

Canton, MA · On-site

$103K - $141K/yr

Machine Vision, Algorithms & Emerging Technologies * Design, implement, and optimize classical and ... Perform full engineering responsibilities including estimation, requirement analysis, technical ...

Application Engineer

Sudbury, MA · On-site

$99 - $123/hr

Stay current with emerging robotic technologies, AI, machine vision systems, and automation trends ... Engineering support responsiveness.* Customer satisfaction.* Project gross margin performance.

Be Seen First

As a part of our Engineering group you will have the opportunity to manage, develop, integrate, and ... in Machine Vision Inspection, Barcode Reading, RFID, and custom Automation systems. The position ...

Control Engineer

Boston, MA

$90K - $117K/yr

Engineers in this position collaborate closely with clients, manage multiple projects, and ... and machine vision. You should be comfortable leading or supporting technical teams, mentoring ...

Control Engineer

Boston, MA · On-site

$90K - $117K/yr

Engineers in this position collaborate closely with clients, manage multiple projects, and ... and machine vision. You should be comfortable leading or supporting technical teams, mentoring ...

... machine vision! We are a financially strong, international company with no debt and have been in ... Our software engineers design, develop, and implement the next generations of machine learning and ...

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Internship Machine Vision Engineer information

See Franklin, MA salary details

$13

$25

$39

How much do internship machine vision engineer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for internship machine vision engineer in Franklin, MA is $25.69, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $29.13 per hour, depending on experience, location, and employer.

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 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 job categories do people searching Internship Machine Vision Engineer jobs in Franklin, MA look for?

The top searched job categories for Internship Machine Vision Engineer jobs in Franklin, MA are:

What cities near Franklin, MA are hiring for Internship Machine Vision Engineer jobs?

Cities near Franklin, MA with the most Internship Machine Vision Engineer job openings:

Machine Learning / Computer Vision Engineer

Eka

Boston, MA • On-site

$90 - $130/hr

Other

Posted 19 days ago


Job description

Eka Robotics

Eka Robotics is on a mission to build intelligence for the physical world - robots that are fast, general, and reliable. Our approach, grounded in physics, unlocks superhuman capabilities. We are defining the frontier of robotics research and deployment.

Our team consists of pioneers in robotics and machine learning. We are now hiring to scale our R&D effort. We are looking for hands‑on individuals who are excited to help shape the future of robotics.

Responsibilities
  • Build computer vision and visual representation learning pipelines for robotic manipulation, including RGB, RGB‑D, depth, segmentation, pose, keypoint, and object‑centric representations.
  • Develop visual models that support reinforcement learning and imitation learning policies, including end‑to‑end visuomotor policies that map visual observations to robot actions.
  • Improve our data pipeline for vision‑based manipulation policies through domain randomization, photorealistic rendering, synthetic data generation, sensor noise modeling, and real‑world fine‑tuning.
  • Design and train perception models that are robust to lighting changes, camera viewpoint shifts, texture variation, clutter, occlusion, object instance variation, and imperfect calibration.
  • Evaluate learned visual representations and policies on real robotic manipulation tasks, identify failure modes, and iterate on models, data, and training procedures.
  • Collaborate with robotics, robot learning, and simulation engineers to define the perception strategy for robotic manipulation.
  • Set up, calibrate, and evaluate camera and depth sensing systems when needed, with an emphasis on how sensor choices affect learned policies and real‑world robustness.
Minimum Qualifications
  • Ph.D. in computer vision or 3+ years of experience working on a computer vision product.
  • Strong background in machine learning for computer vision, especially deep learning‑based visual perception.
  • Experience training modern computer vision models in JAX, PyTorch or similar frameworks.
  • Practical experience with visual representation learning, object detection, segmentation, pose estimation, depth estimation, tracking, or 3D perception.
  • Strong Python programming skills.
  • Ability to move fluidly between research code and production‑quality systems.
  • Strong understanding of how data distribution, sensor noise, calibration, lighting, and scene variation affect model performance.
Preferred Qualifications
  • Experience training policies from visual observations, including RGB, RGB‑D, point clouds, object‑centric representations, or learned latent representations.
  • Experience with domain randomization, synthetic data generation, differentiable rendering, neural rendering, or photorealistic simulation.
  • Experience with robotics simulators or synthetic data tools such as Isaac Sim, MuJoCo or similar environments.
  • Familiarity with robot learning methods such as reinforcement learning, behavior cloning, diffusion policies, offline RL, or learning from demonstrations.
  • Experience with real robot deployment, including camera calibration, hand‑eye calibration, depth sensors, ROS/ROS2, or robot data collection pipelines.
  • First‑author publications in top computer vision, robotics, or machine learning venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, RSS, CoRL, ICRA, or IROS.
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