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Algorithms Intern Jobs in Somerville, MA (NOW HIRING)

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Algorithms Intern information

What does an algorithms intern do?

An Algorithms Intern assists with the research, development, and optimization of algorithms used in various software or engineering applications. Their work often involves analyzing data, implementing algorithmic solutions, and testing their performance under different conditions. Interns may collaborate with more experienced engineers or researchers to solve real-world problems, contribute to ongoing projects, and document their findings. This role is ideal for students or recent graduates with strong backgrounds in mathematics, computer science, or related fields.

What are the key skills and qualifications needed to thrive as an algorithms intern?

To thrive as an Algorithms Intern, you need a solid foundation in mathematics, data structures, and algorithm design, often supported by coursework in computer science or a related field. Familiarity with programming languages such as Python, C++, or Java, along with experience using version control systems like Git, is typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help you collaborate and present solutions clearly. These competencies are crucial for developing efficient algorithms and contributing meaningfully to technical projects.

What types of projects or tasks can I expect to work on as an algorithms intern?

As an Algorithms Intern, you will typically be involved in solving real-world problems by developing, optimizing, and testing algorithms under the guidance of experienced engineers or researchers. Your daily tasks may include analyzing data sets, prototyping new approaches, benchmarking algorithm performance, and collaborating with cross-functional teams such as software engineers and data scientists. You may also participate in code reviews and present your findings to the team, gaining hands-on experience in both independent and collaborative work environments.

What is the difference between Algorithms Intern vs Data Science Intern?

AspectAlgorithms InternData Science Intern
Required CredentialsUndergraduate or graduate in CS, Math, or related fieldsUndergraduate or graduate in Data Science, Statistics, or related fields
Work EnvironmentTech companies, research labs, startupsTech companies, finance, healthcare, research institutions
Employer & Industry UsageFocus on algorithm development, optimization, and implementationFocus on data analysis, modeling, and insights generation

Algorithms Interns typically focus on developing and optimizing algorithms, often requiring strong programming and mathematical skills. Data Science Interns work on analyzing data, building models, and deriving insights. While both roles involve programming and statistical knowledge, Algorithms Interns are more specialized in algorithm design, whereas Data Science Interns focus on data analysis and interpretation.

Infographic showing various Algorithms Intern job openings in Somerville, MA as of June 2026, with employment types broken down into 13% Internship, 74% Full Time, and 13% Part Time. Highlights an 100% In-person job distribution.

Internship - Foundation Models for Humanoid Robots

Mitsubishi Electric Research Laboratories

Cambridge, MA

Internship

Posted 15 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.