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Internship Computer Science Cpt Jobs in Boston, MA

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... Currently pursuing a degree in statistics, computer science, data science, machine learning ...

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... Currently pursuing a degree in statistics, computer science, data science, machine learning ...

Showing results 21-40

Internship Computer Science Cpt information

See Boston, MA salary details

$10

$18

$27

How much do internship computer science cpt jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for internship computer science cpt in Boston, MA is $18.94, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.91 per hour, depending on experience, location, and employer.

What is an Internship Computer Science CPT?

An Internship Computer Science CPT refers to a Curricular Practical Training (CPT) opportunity for computer science students who are on F-1 visas in the United States. CPT allows eligible international students to gain hands-on work experience in their field of study while still enrolled in their academic program. The work must be directly related to their major, approved by their school, and can be part-time or full-time depending on the institution's policies. Participation in CPT helps students apply classroom knowledge to real-world problems and build professional skills.

What types of projects or tasks can I expect to work on during an Internship Computer Science CPT?

During a Computer Science CPT internship, you can expect to work on a variety of hands-on projects such as software development, debugging, testing, and collaborating on code reviews with your team. Interns often contribute to ongoing projects, assist with designing algorithms, and may participate in meetings to discuss technical solutions and project progress. The work environment is typically collaborative, with interns receiving mentorship from experienced engineers and opportunities to learn new technologies. This experience helps build practical skills that are directly applicable to future full-time roles.

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

To thrive as an Internship Computer Science CPT, you typically need foundational programming knowledge, problem-solving abilities, and enrollment in a relevant academic program, with CPT (Curricular Practical Training) authorization from your university. Familiarity with coding languages like Python or Java, version control systems such as Git, and exposure to development environments are commonly expected. Strong communication, adaptability, and teamwork skills help interns effectively learn and contribute within professional settings. These skills and qualifications are crucial to ensuring successful integration into real-world projects, compliance with visa requirements, and meaningful professional growth.

What are popular job titles related to Internship Computer Science Cpt jobs in Boston, MA?

For Internship Computer Science Cpt jobs in Boston, MA, the most frequently searched job titles are:

What cities near Boston, MA are hiring for Internship Computer Science Cpt jobs?

Cities near Boston, MA with the most Internship Computer Science Cpt job openings:

Infographic showing various Internship Computer Science Cpt job openings in Boston, MA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $39,398 per year, or $18.9 per hour.

Internship - Foundation Models for Humanoid Robots

Cambridge, MA โ€ข On-site

Mitsubishi Electric Research Laboratories
51 - 200 employees

Internship

Re-posted 3 days ago


Job description

MERL is seeking a highly motivated Ph.D. student to conduct research on foundation models for humanoid robot loco-manipulation in factory automation, with a focus on understanding their capabilities, limitations, safety, and robustness. The internship will focus on developing humanoid systems for material handling tasks such as box/cart transportation, kitting, tool manipulation, failure recovery, and other mobile manipulation tasks in warehouse and manufacturing environments. The intern will collaborate closely with MERL researchers to develop novel algorithms that integrate Vision-Language-Action (VLA) models, world models, and robot control for robust long-horizon manipulation on real humanoid platforms. Successful candidates should have demonstrated research experience in embodied AI, robot learning, or computer vision, with the goal of publishing at leading robotics and AI conferences. Start date and duration is flexible.

Required Specific Experience

  • Current enrollment in a Ph.D. program in Mechanical Engineering, Computer Science, Electrical Engineering, or a related field.
  • Hands-on research experience with Vision-Language-Action (VLA) models and/or multimodal foundation models for robotics.
  • Research experience with world models for robotic planning, prediction, or decision making.
  • Sim-to-real transfer and robotic simulation (Isaac Lab, MuJoCo.).
  • Strong publication record or demonstrated research potential in robotics, embodied AI, computer vision, or machine learning. Must have some publications in top robotic or AI conferences / journals (e.g., RSS, ICRA, T-RO, RA-L, NeurIPS, ICML etc).

Desired Experience

  • Contact-rich manipulation and force-controlled manipulation.
  • Whole-body control for humanoid robots.
  • Dexterous manipulation or bimanual manipulation.
  • Reinforcement learning or imitation learning for robotics.
  • Robot perception, 3D vision, or state estimation.
  • Sim-to-real transfer and robotic simulation (Isaac Lab, MuJoCo).
  • Experience deploying algorithms on humanoid platforms.

The pay range for this internship position will be 6-8K per month.