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Internship Computer Vision Robotics Jobs in Massachusetts

ASUS

Senior Computer Vision Engineer

Boston, MA

$164K - $237K/yr

The ASUS Robotics & AI Center is seeking a Senior Computer Vision Engineer to join our global research and development team. This role focuses on building theperceptionsystems that allow our UAVs and ...

Tutor

Robot Perception Engineer

Watertown, MA · On-site

Required : • 3+ years of experience in perception, robotics, or a closely related engineering role • Strong foundations in computer vision, robotics, or related fields • Comfortable writing ...

Berkshire Grey

Senior Software Engineers

Bedford, MA · On-site

$159K - $189K/yr

The employer requires a master's degree in computer vision, robotics, computer engineering, or a closely related field, and at least two (2) years of work experience in software development within ...

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 ...

Tutor Intelligence

Robot Perception Engineer

Watertown, MA · On-site

$125K - $180K/yr

Strong foundations in computer vision, robotics, or related fields * Comfortable writing production-quality code (e.g. C++, Python) and working with real sensor data * Experience operating in fast ...

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Internship Computer Vision Robotics information

What are the key skills and qualifications needed to thrive as an Internship Computer Vision Robotics, and why are they important?

To thrive in an Internship Computer Vision Robotics role, you typically need a solid background in computer science, mathematics, and robotics, often supported by coursework or projects in machine learning and image processing. Familiarity with programming languages like Python or C++, and experience using tools such as OpenCV, ROS, and deep learning frameworks (e.g., TensorFlow or PyTorch) are commonly required. Strong problem-solving, teamwork, and effective communication skills set candidates apart in multidisciplinary environments. These skills are essential for developing innovative solutions and collaborating on complex robotics projects.

What types of projects and technologies will I typically work on during an internship in computer vision robotics?

As an intern in computer vision robotics, you will often work on hands-on projects involving tasks like object detection, image segmentation, sensor data processing, or robotic navigation. You may use programming languages like Python or C++, and frameworks such as OpenCV, ROS (Robot Operating System), and TensorFlow or PyTorch for machine learning components. Interns collaborate closely with engineers and researchers, participating in code reviews, testing algorithms on real or simulated robots, and troubleshooting system integration. This role offers exposure to both software development and hardware interaction, providing a comprehensive experience in robotics and computer vision.

What are Internship Computer Vision Robotics positions?

Internship Computer Vision Robotics positions are temporary roles designed for students or early-career professionals to gain practical experience in applying computer vision techniques within robotic systems. Interns in these roles typically work on projects involving image processing, object detection, 3D vision, and integrating visual data into robotic control systems. These internships help candidates build technical skills, gain exposure to real-world robotics challenges, and often require knowledge of programming languages such as Python or C++, as well as familiarity with machine learning frameworks. They are commonly offered by research labs, tech companies, and robotics startups.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications, especially in robotics and automation. Skills in machine learning, deep learning, and programming with tools like OpenCV and TensorFlow are in high demand for roles such as internship computer vision robotics. The field continues to grow as new techniques and hardware improve the capabilities of autonomous systems.

What is the difference between Internship Computer Vision Robotics vs Internship Machine Learning?

AspectInternship Computer Vision RoboticsInternship Machine Learning
Required CredentialsRelevant coursework, basic programming skills, familiarity with robotics and vision toolsProgramming skills, math background, familiarity with algorithms and data analysis
Work EnvironmentRobotics labs, hardware integration, software developmentData analysis, software development, research environments
Employer & Industry UsageRobotics companies, research labs, tech firms working on autonomous systemsTech companies, research institutions, AI startups

Internship Computer Vision Robotics focuses on developing systems that enable robots to interpret visual data, combining hardware and software skills. In contrast, Internship Machine Learning emphasizes designing algorithms to analyze data and build predictive models. Both roles require programming knowledge but differ in their application areas and work environments.

What are the big 4 internships?

The 'Big 4' internships typically refer to the internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships are highly competitive and often focus on areas such as consulting, audit, tax, and advisory services, providing valuable experience for students pursuing careers in finance, accounting, or consulting. For a computer vision robotics internship, relevant skills include programming, machine learning, and robotics tools, but the 'Big 4' are primarily known for their accounting and consulting internships.

How to get a robotics internship?

To secure a robotics internship, candidates should have a strong foundation in computer vision, robotics, and programming languages like Python or C++. Gaining experience through relevant coursework, personal projects, or competitions, and demonstrating knowledge of robotics frameworks such as ROS can improve chances. Applying to internships through university career centers or company websites and preparing a technical resume are also important steps.

What does a computer vision intern do?

A computer vision intern assists in developing and testing algorithms that enable computers to interpret visual data, such as images and videos. They often work with machine learning models, programming languages like Python or C++, and tools like OpenCV or TensorFlow, under the supervision of experienced engineers to support projects related to object detection, image processing, and autonomous systems.
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Internship Computer Vision Robotics jobs near you
Senior Scientist, Computer Vision & Robotics

Senior Scientist, Computer Vision & Robotics

Charles River Analytics

Cambridge, MA • On-site

$170K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

Charles River Analytics, a GRVTY company, creates solutions and technology to tackle the world's most challenging problems. Our team of technological entrepreneurs works together to push at the forefront of enhanced AI, robotics, smart sensing, and human-centered computing. The resulting research and development help to continuously advance government programs and discover new possibilities in the commercial marketplace. At Charles River, we take great pride in our success at attracting and retaining the most talented and creative problem-solvers in our field. Now as part of GRVTY, we offer the same trusted capabilities with increased organizational depth and expanded capacity across mission-critical national security domains. Are you ready to accelerate our mission-focused innovations? We'd love to hear from you!
We're excited to offer a career-defining opportunity for a senior scientist with a deep passion and expertise in computer vision, machine learning, and image processing. Dive into diverse projects, from enhancing autonomous systems to pioneering health diagnostics to impactful image analysis, and lead our drive to deploy intelligent systems that solve real-world challenges. At Charles River Analytics, you will develop and apply concepts crossing multiple fields including computer vision, machine learning, signal processing, and state estimation. You will work in tightly-knit, project-oriented teams as a Principal Investigator with other scientists and engineers to create prototypes of new research concepts that can be further developed into deployable products. You will have the opportunity to design and execute your own R&D programs and pursue your own technical interests by building a portfolio of new work. You will also have the opportunity to attend conferences, have your work published, and lead efforts to deploy state-of-the-art technology into the field.
How will you make an impact?
  • Design new methods or apply existing methods from the literature to solve challenging problems across a range of sensing and perception-based applications in the applied robotics, overhead sensing, and physiological systems domains
  • Formulate novel concepts including new research thrusts underpinning product roadmaps
  • Guide prototype development while engaging with end-user communities and industry/academic partners to mature the company's technology for field deployment
  • Coach and mentor other computer vision scientists/engineers
  • Present your work to customers, collaborators, and the research community through papers, reports, and demonstrations
  • Generate proposals for development and deployment of advanced computer vision capabilities

What do you need?
  • B.A./B.S. in Computer Science, Engineering, Physics, or related area. Master's or Ph.D. in a technical discipline preferred
  • 5+ years in classical computer vision techniques, machine learning methods and tools including deep learning, associated frameworks (e.g., PyTorch, TensorFlow, Keras), signal processing modalities (e.g., EO/IR, sonar, radar, lidar, acoustic, LDV), or related. 10+ years of experience preferred.
  • Demonstrated proficiency in hands-on software development, particularly with Python and C++
  • Experience with robotic and autonomous systems
  • Experience directly interacting with customers and users
  • Experience running programs as a principal investigator and generating new business
  • Experience translating user needs and system features into actionable requirements for engineering teams to implement technical solutions
  • Experience generating proposals, publications, and similar written materials
  • Strong analytical and problem-solving skills, with a knack for tackling complex challenges and crafting innovative solutions
  • Flexibility and a dedication to ongoing learning with an eagerness to keep pace with evolving technology trends
  • Leadership and mentorship qualities with a proven ability to guide projects and nurture the growth of junior team members
  • US Citizenship with an ability to obtain a US Government security clearance
  • Ability to work on a hybrid schedule with at least 60% in-office presence at our Cambridge headquarters.

Our ideal candidate has:
  • Experience with systems engineering, requirements analysis, and system level design.
  • Experience with CI/CD pipelines or modern DevOps/DevSecOps methodologies.
  • Experience with containerization (Docker) and orchestration (Kubernetes, Helm)
  • Experience integrating complex software systems into larger systems (APIs, communication).
  • Familiarity with tools such as OpenCV, PyTorch, TensorFlow, and CUDA.
  • Experience with data engineering practices and management of large datasets.
  • Experience preparing technical deliverables such as specifications, reports, or contributions to academic publications.

Salary Range
$170,000 - $220,000
The above salary range is an estimate based on the internal job level(s) for which this role is being considered. The final salary will be decided after careful evaluation of the individual's work experience, education, and overall qualifications. This range does not include the substantial total rewards, as listed below, that you will also be eligible for as an employee at Charles River Analytics.
Why Charles River?
Charles River Analytics thrives on collaboration and values each team member. We offer competitive compensation plus bonus and retirement contribution, with an attractive benefits package including 100% employer-paid medical and dental insurance, as well as vision, life, and disability insurance, paid maternity/paternity leave, tuition reimbursement, monthly gym allowance, free parking, generous paid time off, and a casual environment. We offer tremendous flexibility and value work-life balance. We are also accessible by public transportation. Charles River became an employee-owned company in 2012, to set the stage for the next-generation of innovation, service, and growth in R&D. As we entered 2026, we joined forces with GRVTY, gaining the scale and capacity to transition, field, and sustain our innovations faster and more effectively than ever before.

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