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Computer Science Remote Internships Jobs in Boston, MA

Master's degree in computer science, data science, information science, or a related field ... Remote work flexibility may be considered. Work Format Details This position has been determined by ...

Qualifications * BS or higher degree in Computer Science, Computer Engineering, or Electrical Engineering. * Strong C/C++ programming skills and understanding of embedded systems. * Hands-on ...

Senior Data Scientist

Boston, MA · On-site +1

$140K - $190K/yr

D. in Statistics, Data Science, Computer Science, or a related quantitative field (or equivalent ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...

Senior AI / ML Engineer

Boston, MA · On-site +1

$113K - $155K/yr

This is a remote-first position, but we'd love it if you're based in or near Boston. What You'll Do ... D. in Computer Science, Data Science, Engineering, or a related field. * Hands-on AI Experience:

Lead Machine Learning Engineer - REMOTE

Boston, MA · Remote

$111K - $146K/yr

Bachelor's degree or higher in Computer Science, Engineering, or a related technical field. * 7+ ... Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or ...

Lead Machine Learning Engineer - REMOTE

Boston, MA · On-site +1

$111K - $146K/yr

Bachelor's degree or higher in Computer Science, Engineering, or a related technical field. * 7+ ... Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or ...

Verification Engineer (Remote)

Salem, MA · Remote

$148K/yr

BSEE/MSEE or equivalent in Electrical Engineering, Computer Science, or a related field. * Proficient in Verilog/SystemVerilog and UVM. * Comfortable working in Linux and with industry-standard EDA ...

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Computer Science Remote Internships information

What types of projects can I expect to work on during a remote computer science internship, and how will I collaborate with my team?

As a remote computer science intern, you'll typically work on real-world software development projects such as coding new application features, debugging existing code, or contributing to open-source initiatives. Communication and collaboration usually take place through tools like Slack, GitHub, and video conferencing platforms, allowing you to participate in daily stand-ups, code reviews, and team meetings. You may be paired with a mentor or work within a small agile team, gaining exposure to industry-standard development practices and collaborative workflows. While managing your own tasks independently is important, you'll also have regular check-ins and opportunities to ask questions, ensuring you remain connected and supported throughout the internship.

What is the difference between Computer Science Remote Internships vs Software Developer Internships?

AspectComputer Science Remote InternshipsSoftware Developer Internships
Required CredentialsTypically a computer science student or related field, some coding knowledgeSimilar, often requiring programming skills and coursework in software development
Work EnvironmentRemote, flexible, project-basedRemote or hybrid, focused on coding and software projects
Employer & Industry UsageTech companies, startups, research institutionsTech firms, software companies, startups
Search & Comparison IntentLooking for general computer science internship opportunitiesSeeking specific software development internship roles

Computer Science Remote Internships and Software Developer Internships share similar credentials and work environments, often targeting tech companies and startups. However, CS internships tend to be broader, encompassing various computer science topics, while Software Developer Internships focus specifically on coding and software creation. Both are valuable for gaining industry experience remotely.

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

To thrive as a Computer Science Remote Intern, you typically need a solid understanding of programming fundamentals, algorithms, and data structures, often supported by ongoing or completed coursework in computer science or related fields. Familiarity with version control systems like Git, collaboration tools such as Slack or Zoom, and exposure to languages like Python, Java, or JavaScript are highly valuable. Strong self-motivation, time management, and effective written communication skills help interns excel in remote environments. These abilities enable interns to contribute effectively to distributed teams, manage projects independently, and adapt to rapidly changing technical tasks.

What are computer science remote internships?

Computer science remote internships are work opportunities for students or recent graduates to gain practical experience in computer science while working from a location outside of a traditional office, typically from home. Interns collaborate with teams online, using digital tools to complete tasks such as coding, software development, data analysis, or technical support. These internships provide valuable exposure to real-world projects, industry practices, and professional networking, all without the need to relocate. Remote internships are especially popular in tech fields where much of the work can be done online. They often offer flexibility in schedules and are available with companies around the world.
What are popular job titles related to Computer Science Remote Internships jobs in Boston, MA? For Computer Science Remote Internships jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Computer Science Remote Internships jobs in Boston, MA look for? The top searched job categories for Computer Science Remote Internships jobs in Boston, MA are:
What cities near Boston, MA are hiring for Computer Science Remote Internships jobs? Cities near Boston, MA with the most Computer Science Remote Internships job openings:
Infographic showing various Computer Science Remote Internships job openings in Boston, MA as of June 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 100% In-person job distribution.

Junior Machine Learning Researcher

Straumann

Andover, MA • On-site, Remote

Other

Posted yesterday


Straumann rating

7.0

Company rating: 7.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

288th of 417 rated machine equipment manufacturers


Job description

Machine Learning Researcher
POSITION OVERVIEW
The Machine Learning Researcher is responsible for the development, evaluation, and optimization of machine learning and deep learning algorithms that support innovative digital dentistry solutions. This role focuses on advancing artificial intelligence capabilities through research, model development, and collaboration with cross-functional teams to translate cutting-edge technologies into high-impact product features.
Working closely with software engineers, data engineers, product teams, and clinical experts, the Machine Learning Researcher contributes to the full machine learning lifecycle, including data preparation, model training, validation, deployment support, and intellectual property development.
KEY RESPONSIBILITIES
Machine Learning Research & Development
  • Define machine learning and data science requirements for new product features and capabilities.
  • Design, train, validate, and optimize machine learning models, with a focus on deep neural networks and computer vision applications.
  • Develop algorithms utilizing dental imaging data, including 2D and 3D radiographic images, CBCT scans, and intraoral optical scans.
  • Evaluate and improve existing machine learning models using state-of-the-art methodologies and published research.
  • Establish appropriate performance metrics, validation strategies, and error analysis approaches to ensure robust model performance.
  • Design and implement efficient algorithms and data structures for model training and inference.
Data & Engineering Collaboration
  • Collaborate with software engineers and data engineers to improve data pipelines, data management processes, and model deployment workflows.
  • Define data requirements for training, validation, and performance evaluation.
  • Develop data preprocessing and postprocessing pipelines aligned with product and feature requirements.
  • Support the integration of machine learning solutions into commercial software products.
Innovation & Intellectual Property
  • Monitor advancements in machine learning, deep learning, computer vision, and related research domains.
  • Assess emerging technologies and recommend opportunities for application within product development.
  • Contribute to intellectual property generation, including invention disclosures, patent applications, and technical documentation.
  • Collaborate with legal and intellectual property teams to support patent prosecution and maintenance activities.
Quality & Compliance
  • Ensure development activities align with applicable quality management systems and medical device regulations.
  • Support documentation and validation activities required for regulated software products.
REQUIRED QUALIFICATIONS
  • Bachelor's or master's degree in computer science, Data Science, Mathematics, Statistics, Engineering, or a related STEM discipline.
  • Strong understanding of machine learning, deep learning, statistics, and applied mathematics.
  • Minimum of 3 years of experience developing machine learning solutions, preferably within a regulated medical device, healthcare, or life sciences environment.
  • Proficiency in Python and machine learning development workflows.
  • Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Experience with software development and best practices, including source control systems (e.g., Git).
  • Strong analytical and problem-solving skills with the ability to independently investigate complex technical challenges.
  • Demonstrated ability to learn new technologies quickly and contribute effectively within cross-functional teams.
  • Excellent written and verbal communication skills.
PREFERRED QUALIFICATIONS
  • Master's degree or PhD with a specialization in Machine Learning, Artificial Intelligence, Computer Vision, or a related field.
  • Experience working with medical imaging, computer vision, or image segmentation technologies.
  • Experience with 3D image analysis and deep learning techniques applied to healthcare datasets.
  • Familiarity with software development processes in regulated environments (e.g., ISO 13485, IEC 62304, FDA, MDR).
  • Publication records, patent contributions, or demonstrated research experience in machine learning-related fields.
COMPETENCIES
  • Scientific curiosity and innovation mindset.
  • Strong quantitative reasoning and statistical thinking.
  • Creative and practical problem-solving abilities.
  • Attention to detail and commitment to quality.
  • Self-motivated and capable of working independently.
  • Effective collaboration and stakeholder communication skills.
  • Continuous learning orientation.
WORKING CONDITIONS
  • Primarily remote position with occasional travel as required.
  • Collaboration with global cross-functional teams across multiple time zones.
  • Participation in research, product development, and innovation initiatives supporting digital dentistry solutions.
EDUCATION
Required:
  • Bachelor's degree in computer science, Mathematics, Statistics, Engineering, Data Science, or a related STEM discipline.
Preferred:
  • Master's degree or PhD with a concentration in Machine Learning, Artificial Intelligence, Computer Vision, or Data Science.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.
Employment Type: Full Time
Alternative Locations: United States : Andover (MA)
Travel Percentage: 0 - 10%
Requisition ID: 21283