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Embedded Machine Learning Internship Jobs in Boston, MA

Motional

Senior Embedded Software Engineer

Boston, MA · On-site +1

$149K - $198K/yr

Design test harnesses for embedded software components and full systems * Provide technical ... Experience deploying Machine Learning models. * Experience working with GPUs. * Experience working ...

Motional

Senior Embedded Software Engineer

Boston, MA · On-site

$149K - $198K/yr

Design test harnesses for embedded software components and full systems * Provide technical ... Experience deploying Machine Learning models. * Experience working with GPUs. * Experience working ...

Lancesoft

Embedded Software- Engineer

Lexington, MA · On-site

$120 - $130/hr

G., swarming);demanding real-time embedded software and firmware control;image processing;machine learning;human-machine interaction;space-qualified electronics;and analog and power electronics.

Xforia, Inc.

Principal AI/ML Engineer

Boston, MA · On-site

... on embedded systems. • Working closely with hardware engineers to optimize machine learning models for specific hardware architectures and assisting in system integration. • Conducting ...

Whoop

Embedded Engineer

Boston, MA · On-site

$105K - $145K/yr

... learning, and engineering effectiveness. QUALIFICATIONS: * The ability to obtain and maintain a US ... internships, academic projects, research, or industry experience. * Proficiency in C/C++ and ...

Whoop

Embedded Engineer

Boston, MA · On-site

$105K - $145K/yr

... learning, and engineering effectiveness. QUALIFICATIONS: * The ability to obtain and maintain a US ... internships, academic projects, research, or industry experience. * Proficiency in C/C++ and ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Boston, MA

Embedded Machine Learning Internship information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

How much do embedded machine learning internship jobs pay per year?

As of Jul 14, 2026, the average yearly pay for embedded machine learning internship in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

What is an Embedded Machine Learning Internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an Embedded Machine Learning Internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

What are the key skills and qualifications needed to thrive as an Embedded Machine Learning Intern, and why are they important?

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.
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Embedded Machine Learning Internship jobs near you
Senior Embedded Software Engineer

Senior Embedded Software Engineer

Motional

Boston, MA • On-site, Remote

$149K - $198K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 7 days ago

Job description

Mission Summary:

Motional's onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional's next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional's current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.

What You'll Be Doing:

  • Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
  • Design test harnesses for embedded software components and full systems
  • Provide technical mentorship to engineers.
  • Proactively work with cross-functional engineering teams to solve complex and interesting problems.

What We're Looking For:

  • Experience with creating detailed requirements from use cases.
  • Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
  • Experience writing software for embedded platforms in C and C++.
  • Experience with Test-Driven Development (TDD).
  • Experience working on embedded Linux / RTOSs.
  • Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
  • Experience with debugging on embedded platforms.
  • Experience writing software in Python and experience doing automation with shell scripting.
  • Experience working with ARM Cortex MCUs or Microprocessors.

Bonus Points (not required):

  • Experience working with large data pipelines, and platforms that require deterministic execution.
  • Experience using inter-system communication protocols such as I2C and SPI
  • Experience deploying Machine Learning models.
  • Experience working with GPUs.
  • Experience working directly with the Linux kernel or Device Drivers.
  • Experience with Simulation and Code Generation, and knowing when their use is appropriate.
  • Experience working with Bazel.
  • Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
  • Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range
$149,000—$198,500 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.