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Computer Vision New Graduate Jobs (NOW HIRING)

Sciton

Computer Vision (Software) Engineer

Palo Alto, CA · On-site

$170K - $190K/yr

You'll be embedded within both the R&D and software teams, helping to bring new vision-based technologies from concept to production. Your primary focus will be developing and deploying computer ...

Stryker

Senior Computer Vision Engineer

Menlo Park, CA · On-site

$116K - $193K/yr

Skilled in quickly identifying key advances in the computer vision and AI/ML literature and relevance to problems being solved as well as explaining and justifying usage of new approaches through ...

Sciton

Computer Vision (Software) Engineer

Palo Alto, CA

$170K - $190K/yr

D and software teams, helping to bring new vision-based technologies from concept to production. Your primary focus will be developing and deploying computer vision systems that analyze skin areas ...

Arthrex

Engineer Sr II - Computer Vision

Naples, FL · On-site

$98K - $135K/yr

Arthrex, Inc. is a global medical device company and a leader in new product development and ... Post graduate degree (Master's or PhD) in Engineering, Computer Science or related field is ...

Leidos

Computer Vision AI/ML Engineer

Huntsville, AL · On-site

$87K - $157K/yr

Our team's mission is to: (1) develop and demonstrate new alternative navigation and vision ... Our core competencies include sensor fusion, computer vision, HW/SW integration, and machine ...

Tt

AI & Computer Vision Intern

New York, NY

We have an opportunity for an AI & Computer Vision Intern for our Forensics Practice ... A potential new employee's pay history will not be used in compensation decisions. Benefits ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA

$127K - $149K/yr

Conduct proof-of-concept experiments to evaluate new algorithms and perception techniques ... Background in computer vision tasks such as detection, depth estimation, segmentation, tracking, or ...

ARTHREX

Engineer Sr II - Computer Vision

Naples, FL · On-site

$98K - $135K/yr

... leader in new product development and medical education in orthopedics. Arthrex is actively ... Post graduate degree (Master's or PhD) in Engineering, Computer Science or related field is ...

Leidos

Computer Vision AI/ML Engineer

Huntsville, AL · On-site

$69K - $125K/yr

Our team's mission is to: (1) develop and demonstrate new alternative navigation and vision ... Our core competencies include sensor fusion, computer vision, HW/SW integration, and machine ...

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All JobsComputer Vision New Graduate Jobs

Computer Vision New Graduate information

See salary details

$33.5K

$48.3K

$63.5K

How much do computer vision new graduate jobs pay per year?

As of Jun 23, 2026, the average yearly pay for computer vision new graduate in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

What is the difference between Computer Vision New Graduate vs Computer Vision Engineer?

AspectComputer Vision New GraduateComputer Vision Engineer
Required CredentialsBachelor's degree in CS, Electrical Engineering, or related fieldBachelor's or Master's degree, often with specialized experience
Work EnvironmentEntry-level, internship or junior roles, collaborative teamsMid-level to senior roles, project leadership, complex problem-solving
Employer & Industry UsageTech companies, research labs, startups, academiaTech firms, AI companies, automotive, robotics, healthcare
Common Search & ComparisonYesYes

The main difference between a Computer Vision New Graduate and a Computer Vision Engineer lies in experience and responsibilities. The new graduate role is entry-level, focusing on learning and supporting projects, while the engineer position involves more advanced tasks, problem-solving, and project ownership. Both roles are common in tech and AI industries, but the engineer role typically requires more experience and specialized skills.

Infographic showing various Computer Vision New Graduate job openings in the United States as of June 2026, with employment types broken down into 3% Internship, 66% Full Time, and 31% Part Time. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.
Computer Vision Data Scientist

Computer Vision Data Scientist

IDEXX Laboratories, Inc.

Westbrook, ME • On-site

$128K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

IDEXX Laboratories rating

7.4

Company rating: 7.4 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

60th of 103 rated laboratories

Job description

We are seeking a Computer Vision Data Scientist with a few years of accomplished image analysis experience to develop imaging algorithms for veterinary clinical instrument platforms. In this role you will join a team developing microscopy algorithms for IDEXX's revolutionary inVue platform. Your work will have immediate impact transforming cytology analysis in the veterinary clinic. This role offers hands-on experience developing algorithms that combine deep learning and classical computer vision approaches to solve challenging image discrimination problems that will be deployed on embedded systems. You will work on a cross-functional team of clinical, technical and business experts. If solving high impact and challenging computer vision problems excites you, we want to talk to you!
Why this role matters:
Cytology is one of the most impactful diagnostics in veterinary medicine, and today it still relies heavily on manual review, variable image quality, and time-consuming workflows. The algorithms you build in this role directly shape how veterinarians identify disease, make treatment decisions, and deliver care in real time.
In this role:
  • Develop and implement computer vision algorithms combining supervised deep learning (CNNs, transformers), unsupervised machine learning, and classical techniques (feature extraction, morphological operations, edge detection) for discrimination tasks.
  • Assist in the research, prototyping, and implementation of computer vision solutions for medical imaging and cellular analysis applications.
  • Support the development and validation of image processing pipelines that perform reliably across diverse imaging conditions and sample variations.
  • Work with the team to implement and optimize computer vision models for deployment on embedded devices and NVIDIA GPUs.
  • Conduct experiments and performance evaluations to validate algorithm performance, including benchmarking and statistical analysis.
  • Collaborate with cross-functional teams including engineers, clinical experts, and product stakeholders to understand and address clinical requirements.
  • Contribute to technical documentation for computer vision development, including algorithm design and validation methodologies.
  • Stay current with advances in computer vision, machine learning, and medical imaging through continuous learning.
  • Guide the work of junior imaging data scientists.

What you need to succeed:
  • M.S. in Computer Science, Electrical Engineering, Data Science, or related field, or B.S. with relevant internship/project experience in computer vision.
  • Foundational knowledge of both classical computer vision techniques and modern deep learning approaches.
  • Proficiency in Python and experience with deep learning frameworks, particularly PyTorch.
  • Experience designing, training, and evaluating CNNs or other neural architectures for image classification, segmentation, or detection (through coursework, projects, internships, or research).
  • Exposure to model optimization and deployment considerations for resource-constrained environments.
  • Understanding of challenging discrimination problems in imaging (e.g., subtle feature detection, class imbalance).
  • Solid foundation in experimental design including dataset preparation, validation strategies, and performance evaluation.
  • Familiarity with cloud platforms, particularly AWS, is a plus.
  • Exposure to Databricks or similar ML workflow platforms is beneficial but not required.
  • Strong analytical and problem-solving abilities with attention to detail.
  • Interest in or exposure to microscopy imaging, digital cytology, or histopathology is a plus.
  • Ability to communicate technical concepts clearly and work effectively in team settings.
  • Enthusiasm for learning and applying new techniques to solve real-world problems.

What you can expect from us:
  • Base salary range starting at $128,000 based on experience
  • Opportunity for annual cash bonus
  • Health / Dental / Vision Benefits Day-One
  • 5% matching 401k
  • Additional benefits including but not limited to financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and much more

This is a hybrid role and will require you to be in the office 2 days per week.
Why IDEXX:
We're proud of the work we do, because our work matters. An innovation leader in every industry we serve since 1983, our team members help pet owners worldwide keep their companion animals healthy and happy, ensure safe drinking water for billions, and help farmers protect livestock and poultry from disease. We have customers in over 175 countries and a collaborative global workforce. Our culture embraces challenges and encourages learning and discovery. At IDEXX, you'll be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement. If meaningful work and a sense of purpose are at the top of your list, you'll find it here. Let's pursue what matters together.
IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws.
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