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Computer Science Internship Jobs in Maine (NOW HIRING)

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

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Computer Science Internship information

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How much do computer science internship jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for computer science internship in Maine is $20.62, according to ZipRecruiter salary data. Most workers in this role earn between $11.21 and $23.77 per hour, depending on experience, location, and employer.

What is the difference between Computer Science Internship vs Software Developer Intern?

AspectComputer Science InternshipSoftware Developer Intern
Required CredentialsTypically pursuing or recent graduate in CS or related fieldSame as CS internship, often students or recent grads
Work EnvironmentVaries across tech companies, research labs, startupsPrimarily software development teams in tech firms
Employer & Industry UsageUsed across academia, industry, research projectsPrimarily in software development companies and tech industry
Common Search & Comparison IntentUnderstanding internship opportunities in CSComparing software development internship roles

Both Computer Science Internships and Software Developer Internships target students or recent graduates interested in tech. While CS internships may include research, data analysis, or broader technical roles, Software Developer Internships focus specifically on coding and software creation. The choice depends on your career goals and the specific skills you want to develop.

What are the key skills and qualifications needed to thrive as a Computer Science Intern, and why are they important?

To thrive as a Computer Science Intern, you generally need foundational knowledge in programming, algorithms, and data structures, often supported by progress toward a computer science degree. Familiarity with coding languages such as Python, Java, or C++, as well as experience using version control systems like Git, is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns stand out in collaborative environments. These skills and qualities are essential because they enable interns to contribute meaningfully to projects, adapt to new technologies, and work efficiently within a development team.

What types of projects do Computer Science interns typically work on, and how much autonomy can I expect?

Computer Science interns often contribute to real-world projects such as developing new software features, debugging code, automating processes, or supporting infrastructure. While the level of autonomy varies by company, interns are generally given meaningful tasks and encouraged to collaborate with senior engineers and cross-functional teams. You'll likely participate in code reviews, agile sprints, and team meetings, gaining hands-on experience and feedback. Many organizations assign mentors to guide interns, helping them balance independence with structured learning and support.

What Are Internship Opportunities in Computer Science?

An internship in computer science provides on-the-job training for students who study computer science. Your duties in this program depend on the focus on the internship. Some interns get experiencing coding and developing software, applications, or website user interfaces. As an intern, you work under the direction of programming and development professionals. Your responsibilities include writing lines of code, testing and debugging software, learning computer languages in a realistic setting, and functioning as part of a team. Other computer science internships focus on providing technical support, cybersecurity services, or administration services as part of an IT team.

What is a computer science internship?

A computer science internship is a temporary position that allows students or recent graduates to gain practical experience in the field of computer science. Interns typically work on real-world projects, assisting with programming, software development, data analysis, or IT support under the supervision of experienced professionals. These internships provide valuable hands-on skills, networking opportunities, and insight into potential career paths within technology industries.
More about Computer Science Internship jobs
What are the most commonly searched types of Computer Science jobs in Maine? The most popular types of Computer Science jobs in Maine are:
What are popular job titles related to Computer Science Internship jobs in Maine? For Computer Science Internship jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Computer Science Internship jobs in Maine look for? The top searched job categories for Computer Science Internship jobs in Maine are:
What cities in Maine are hiring for Computer Science Internship jobs? Cities in Maine with the most Computer Science Internship job openings:
Infographic showing various Computer Science Internship job openings in Maine as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 44% Full Time, 52% Part Time, and 2% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $42,884 per year, or $20.6 per hour.
Computer Vision Data Scientist

Computer Vision Data Scientist

IDEXX Laboratories

Westbrook, ME • Hybrid

$128K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


IDEXX Laboratories rating

7.4

Company rating: 7.4 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

61st 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 timeconsuming 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

  • Additionalbenefits including but not limited to financial support, pet insurance, mentalhealth resources, volunteer paid days off, employee stock program, foundation donationmatching, 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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