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Deep Learning Intern Jobs in Boston, MA (NOW HIRING)

Media Intern - Fall 2026

Boston, MA ยท On-site

$16.25 - $21/hr

We have grown to include global brands (Amazon, Sophia Learning), major sports franchises (X Games ... Deep interest in digital marketing; past internship experience a plus * Familiarity with platforms ...

Media Intern - Fall 2026

Boston, MA ยท On-site

$16.25 - $21/hr

We have grown to include global brands (Amazon, Sophia Learning), major sports franchises (X Games ... Deep interest in digital marketing; past internship experience a plus * Familiarity with platforms ...

Media Intern - Fall 2026

Boston, MA ยท On-site

$16.25 - $21/hr

We have grown to include global brands (Amazon, Sophia Learning), major sports franchises (X Games ... Deep interest in digital marketing; past internship experience a plus * Familiarity with platforms ...

Media Intern - Fall 2026

Boston, MA

$16.25 - $21/hr

We have grown to include global brands (Amazon, Sophia Learning), major sports franchises (X Games ... Deep interest in digital marketing; past internship experience a plus * Familiarity with platforms ...

By combining deep industry expertise and unmatched data resources, Shift provides proven results ... Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to ...

Intern - IT & Facilities Support

Boston, MA ยท On-site

$16.25 - $21.75/hr

... learning and growth. If working in an environment that encourages you to innovate and excel, not ... deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied ...

Intern - IT & Facilities Support

Boston, MA ยท On-site

$16.25 - $21.75/hr

... learning and growth. If working in an environment that encourages you to innovate and excel, not ... deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied ...

Showing results 41-60

Deep Learning Intern information

See Boston, MA salary details

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$18

$26

How much do deep learning intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for deep learning intern in Boston, MA is $18.51, 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 types of projects can a deep learning intern expect to work on, and how is mentorship typically structured?

As a Deep Learning Intern, you can expect to work on projects such as developing and training neural network models, data preprocessing, and conducting experiments to improve model accuracy. Interns are often integrated into small teams where they collaborate closely with experienced machine learning engineers and researchers. Mentorship is usually structured through regular check-ins, code reviews, and collaborative problem-solving sessions, giving interns the opportunity to learn industry best practices and receive feedback on their work. This setup provides a supportive environment for skill development and hands-on experience with real-world deep learning challenges.

What skills and qualifications are needed to thrive as a deep learning intern?

To thrive as a Deep Learning Intern, you need a solid background in mathematics, programming (especially Python), and foundational knowledge of machine learning concepts, often backed by coursework or relevant projects. Familiarity with frameworks like TensorFlow or PyTorch, as well as experience using version control systems like Git, are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns collaborate and learn quickly in a dynamic research environment. These skills and qualities are essential for contributing meaningfully to cutting-edge AI projects and rapidly adapting to evolving technologies.

What does a deep learning intern do?

A Deep Learning Intern typically assists with designing, developing, and testing deep learning models under the supervision of experienced machine learning engineers or researchers. Their tasks may involve data preprocessing, model training, evaluation, and implementing neural network architectures for tasks like image recognition, natural language processing, or other AI applications. Interns often help with literature reviews, experiment tracking, and preparing reports or presentations of their findings. This role provides hands-on experience in working with state-of-the-art machine learning frameworks such as TensorFlow or PyTorch.
What are the most commonly searched types of Deep Learning jobs in Boston, MA? The most popular types of Deep Learning jobs in Boston, MA are:
What are popular job titles related to Deep Learning Intern jobs in Boston, MA? For Deep Learning Intern jobs in Boston, MA, the most frequently searched job titles are:
What cities near Boston, MA are hiring for Deep Learning Intern jobs? Cities near Boston, MA with the most Deep Learning Intern job openings:
Infographic showing various Deep Learning Intern job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $38,497 per year, or $18.5 per hour.

Internship - Embodied AI & Humanoid Robotics

Mitsubishi Electric Research Laboratories

Cambridge, MA โ€ข On-site

Full-time, Internship

Medical

Posted 5 days ago


Job description

Join our cutting-edge research team to help advance the next generation of Embodied AI and Humanoid Robotics. As a research intern, you will develop AI technologies that enable humanoid robots to understand, reason, and interact with the physical world through complex manipulation, assembly, and tool-use tasks. This is a unique opportunity to contribute to impactful research with the goal of publishing at leading AI and robotics conferences.

What You'll Work On

Depending on your background and interests, projects may include:

  • Embodied AI for dexterous manipulation, assembly, and tool use
  • Vision-Language-Action (VLA) models and Foundation Models for robotic control
  • World-Action Models (WAM) for long-horizon planning and decision making
  • Learning from human demonstrations, teleoperation, and autonomous data collection
  • Sim-to-real transfer, reinforcement learning, and real-world robot deployment
What We're Looking For

We are seeking highly motivated graduate students with:

  • Strong research experience in robotics, embodied AI, machine learning, computer vision, or related fields
  • Experience with deep learning frameworks such as PyTorch or JAX, and strong Python programming skills
  • Familiarity with one or more of the following:
    • Vision-Language-Action (VLA) models
    • Foundation Models or multimodal AI
    • Reinforcement learning or imitation learning
    • Robot manipulation, motion planning, or control
    • Agentic AI systems for robotics

Preferred qualifications:

  • Hands-on experience with humanoid or loco manipulators (e.g., Unitree G1)
  • Experience with teleoperation systems (e.g., Pico, Sonic)
  • Experience with robotics simulators (e.g., Isaac Sim, MuJoCo, Genesis)
  • Familiarity with ROS/ROS 2 and real-world robot experimentation
  • Familiarity with policy deployment on edge AI devices (e.g., Jetson GPUs)
Internship Details
  • Duration: Approximately 4 months
  • Start Date: Flexible
  • Location: Cambridge, MA
  • Objective: Conduct high-impact research leading to publications at premier AI and robotics conferences (e.g., CoRL, RSS, ICRA, IROS, NeurIPS, ICML)

If you are excited about building AI that enables robots to perform complex real-world tasks—including assembly, tool use, and dexterous manipulation—we encourage you to apply.

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


Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge.

Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.

In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.