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Embedded Machine Learning Jobs in Boston, MA (NOW HIRING)

Axon

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... IoT devices, or embedded systems is highly desirable. * Excellent problem-solving skills ...

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 ...

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Showing results 21-40

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

Embedded Machine Learning information

See Boston, MA salary details

$76K

$166.6K

$189K

How much do embedded machine learning jobs pay per year?

As of Sep 15, 2026, the average yearly pay for embedded machine learning in Boston, MA is $166,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,900.00 and $187,900.00 per year, depending on experience, location, and employer.

What is an embedded machine learning?

An Embedded Machine Learning job involves developing and optimizing machine learning models to run efficiently on resource-constrained devices like microcontrollers, edge devices, and IoT hardware. Professionals in this role work on model compression, low-power inference, and real-time processing, ensuring AI capabilities can function without relying on cloud computing. Responsibilities often include data preprocessing, feature extraction, model training, and deployment on embedded systems using frameworks like TensorFlow Lite or Edge Impulse.

What are the key skills and qualifications needed to thrive in embedded machine learning?

To thrive in Embedded Machine Learning, you should have expertise in machine learning algorithms, embedded systems programming (e.g., C/C++, Python), and a solid understanding of hardware-software integration, typically backed by a degree in computer engineering, electrical engineering, or a related field. Familiarity with edge AI tools (such as TensorFlow Lite, ONNX, or Edge Impulse), microcontrollers, and real-time operating systems is highly valued, alongside relevant certifications such as Embedded Systems or AI certificates. Strong problem-solving skills, effective communication, and the ability to work cross-functionally are crucial soft skills in this field. These qualifications and qualities are vital for creating efficient, reliable AI solutions that operate seamlessly within resource-constrained environments and interdisciplinary project teams.

What are some common challenges faced by professionals working in embedded machine learning roles?

Professionals in embedded machine learning roles often face the challenge of optimizing machine learning models to run efficiently on resource-constrained hardware, such as microcontrollers or edge devices with limited memory and processing power. Balancing model accuracy, inference speed, and energy consumption can require creative problem-solving and deep knowledge of both hardware and software. Additionally, collaboration with hardware engineers, data scientists, and software developers is key, as projects typically require cross-functional teamwork to meet performance and deployment goals. Staying current with rapidly evolving tools and best practices is also important in this dynamic field.

What are the most commonly searched types of Embedded Machine Learning jobs in Boston, MA?

The most popular types of Embedded Machine Learning jobs in Boston, MA are:

What are popular job titles related to Embedded Machine Learning jobs in Boston, MA?

For Embedded Machine Learning jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Embedded Machine Learning jobs in Boston, MA look for?

The top searched job categories for Embedded Machine Learning jobs in Boston, MA are:

Embedded Machine Learning jobs near you
Infographic showing various Embedded Machine Learning job openings in Boston, MA as of September 2026, with employment types broken down into 9% Internship, 81% Full Time, and 10% Contract. Highlights an 100% In-person job distribution, with an average salary of $166,636 per year, or $80.1 per hour.

Machine Learning Engineer, Robotics and Physical Ai - Burlington, Ma

Burlington, MA • Hybrid

Motion Recruitment
Recruiting and Staffing Services • 501 - 1,000 employees
Learn more about Motion Recruitmentexternal

$135K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

Job Description An innovative robotics and Physical AI startup based in Burlington, Massachusetts is seeking a Machine Learning Engineer, Robotics & Physical AI to help build intelligent systems that bridge advanced machine learning with real-world automation and robotics.
This role is ideal for an engineer who enjoys moving beyond model development and into deployment, working directly with robotic platforms, sensors, vision systems, and automation equipment. You will collaborate closely with software, robotics, controls, and hardware engineers to design, train, deploy, and optimize machine learning solutions that drive autonomous decision-making in real-world environments.
As a key member of a growing engineering team, you will have significant ownership over the development lifecycle, from experimentation and model architecture through deployment, validation, and continuous improvement of AI systems operating on physical hardware.
This is a hybrid position located in Burlington, MA, with an expectation of approximately 2-3 days onsite per week. Required Skills & Experience
  • 4+ years of experience in Machine Learning, Artificial Intelligence, Robotics, or a related field
  • Strong programming experience in Python
  • Experience developing and deploying machine learning models in production environments
  • Solid understanding of deep learning frameworks such as PyTorch or TensorFlow
  • Experience working with computer vision, perception systems, sensor fusion, or robotics-related ML applications
  • Familiarity with Linux development environments
  • Strong understanding of data pipelines, model evaluation, experimentation, and performance optimization
  • Experience implementing ML solutions that interact with real-world systems or hardware
  • Knowledge of software engineering best practices including Git, testing, and CI/CD
  • Bachelor's degree in Computer Science, Machine Learning, Robotics, Electrical Engineering, or a related technical discipline
Desired Skills & Experience
  • Experience with robotics frameworks such as ROS or ROS 2
  • Hands-on experience with autonomous systems, industrial robotics, drones, or intelligent automation
  • Experience deploying models using ONNX Runtime, TensorRT, or edge AI platforms
  • Knowledge of reinforcement learning, imitation learning, or motion-planning systems
  • Computer vision experience utilizing OpenCV and modern vision architectures
  • Experience with simulation environments such as Isaac Sim, Gazebo, or digital twin platforms
  • Familiarity with embedded systems and real-time applications
  • Startup experience where engineers take ownership of architecture and product decisions
What You Will Be Doing Daily Responsibilities
  • Design, train, evaluate, and deploy machine learning models that drive robotic and autonomous systems
  • Develop perception, vision, and decision-making capabilities for next-generation intelligent machines
  • Work alongside robotics and software engineers to integrate AI models into production hardware environments
  • Build data collection, training, evaluation, and monitoring pipelines
  • Optimize models for deployment on edge devices and real-time robotic platforms
  • Develop and improve computer vision systems using cameras, sensors, and multimodal data sources
  • Prototype and validate new machine learning techniques that improve system performance and autonomy
  • Create testing and validation frameworks to ensure reliable model behavior in production environments
  • Analyze system performance and continuously refine models using operational and experimental data
  • Contribute to the technical direction of emerging Physical AI and robotics products
The Offer
  • Hybrid role based in Burlington, MA
  • Competitive base salary: $135,000 - $175,000
  • Annual performance bonus
  • Meaningful startup equity package
  • Opportunity to work on cutting-edge robotics, machine learning, and Physical AI technologies
  • High-impact role with visibility across leadership and engineering teams
  • Fast-paced startup environment with significant ownership and technical influence
You will receive the following benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Flexible Paid Time Off (PTO)
  • 401(k) with company contribution
  • Paid Parental Leave
  • Professional Development Assistance
  • Team Events and Company Gatherings
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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