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Junior Computer Vision Jobs in Massachusetts (NOW HIRING)

Axon

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

... junior scientists, guiding the transition of R&D concepts into impactful Axon product feature. * Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud ...

Axon

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

... junior scientists, guiding the transition of R&D concepts into impactful Axon product feature. * Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud ...

ATI

Lead Perception Engineer

Woburn, MA · On-site

$112K - $147K/yr

If you are a perception or computer vision engineer with a passion for solving complex automation ... junior team members. * Collaboration: Work with cross-functional teams, including mechanical ...

ATI

Lead Perception Engineer

Woburn, MA · On-site

$112K - $147K/yr

If you are a perception or computer vision engineer with a passion for solving complex automation ... junior team members. * Collaboration: Work with cross-functional teams, including mechanical ...

Manulife

Senior Machine Learning Engineer

Boston, MA · Hybrid

$107K - $199K/yr

Mentor Data Scientists and Junior Engineers in best practices for programming, Machine Learning ... Research Computer Vision (CV) and Natural Language Processing (NLP) algorithms to address technical ...

Cognex

Senior Machine Learning Engineer

Natick, MA · On-site

$115K - $225K/yr

Mentor junior engineers and champion engineering excellence in ML research and development ... Background in computer vision, signal processing, or related fields. * Experience with embedded ML ...

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All JobsComputer Vision JobsJunior Computer Vision JobsJunior Computer Vision Jobs in Massachusetts

Junior Computer Vision information

What are some common challenges faced by Junior Computer Vision engineers in their first year on the job?

Junior Computer Vision engineers often encounter challenges such as bridging the gap between academic knowledge and real-world application, dealing with large and noisy datasets, and optimizing models for performance and accuracy. They may also need to quickly learn new frameworks or libraries and adapt to the fast-paced development cycles typical in tech environments. Collaboration with data scientists, software engineers, and product teams is essential, so developing strong communication skills and the ability to work in interdisciplinary teams is key to success.

What are Junior Computer Vision Engineers?

Junior Computer Vision Engineers are entry-level professionals who work on developing and implementing algorithms that allow computers to interpret and process visual information from the world, such as images and videos. They typically assist in building models for tasks like object detection, image classification, and facial recognition. These engineers often work under the guidance of senior team members, helping with data preprocessing, model training, and performance evaluation. The role requires a foundation in programming, mathematics, and machine learning, as well as familiarity with libraries like OpenCV or TensorFlow.

What are the key skills and qualifications needed to thrive as a Junior Computer Vision Engineer, and why are they important?

To thrive as a Junior Computer Vision Engineer, you need a solid background in mathematics, programming (especially Python or C++), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), OpenCV, and experience working with image processing libraries are commonly required. Strong problem-solving abilities, attention to detail, and the ability to communicate complex concepts clearly are valuable soft skills. These competencies are crucial for developing accurate computer vision models and collaborating effectively within multidisciplinary engineering teams.

What is the difference between Junior Computer Vision vs Junior Machine Learning Engineer?

AspectJunior Computer VisionJunior Machine Learning Engineer
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of image processingBachelor's in CS, Data Science, or related; understanding of algorithms and data modeling
Work EnvironmentResearch labs, tech companies, AI startups focusing on image/video analysisTech firms, startups, or research centers working on predictive models and data pipelines
Employer & Industry UsageUsed in industries like robotics, surveillance, autonomous vehiclesApplied across finance, healthcare, e-commerce, and tech sectors

Junior Computer Vision roles focus on developing algorithms for image and video analysis, often requiring knowledge of computer vision libraries. Junior Machine Learning Engineers work on building predictive models across various data types. While both roles require programming skills and foundational knowledge of algorithms, their focus areas differ, with computer vision emphasizing visual data and machine learning covering broader data applications.

What are the most commonly searched types of Computer Vision jobs in Massachusetts? The most popular types of Computer Vision jobs in Massachusetts are:
What are popular job titles related to Junior Computer Vision jobs in Massachusetts? For Junior Computer Vision jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Junior Computer Vision jobs in Massachusetts look for? The top searched job categories for Junior Computer Vision jobs in Massachusetts are:
What cities in Massachusetts are hiring for Junior Computer Vision jobs? Cities in Massachusetts with the most Junior Computer Vision job openings:
Junior Computer Vision jobs near you
Infographic showing various Junior Computer Vision job openings in Massachusetts as of July 2026, with employment types broken down into 91% Full Time, and 9% Temporary. Highlights an 91% In-person, and 9% Hybrid job distribution.

Senior Scientist, Computer Vision & Robotics

Charles River Analytics

Cambridge, MA • On-site

$170K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 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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