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

GN Group

Machine Learning Engineer - Edge

Lowell, MA · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Experience with embedded systems and hardware platforms. * Fundamentals of audio and speech signal ...

Cognex

Senior Machine Learning Engineer

Natick, MA

$115K - $225K/yr

The team works across custom hardware, optimized embedded systems, and next-generation algorithm ... Research, design, and implement efficient deep learning models for industrial machine vision tasks ...

Cognex

Senior Machine Learning Engineer

Natick, MA · On-site

$115K - $225K/yr

Cognex is a global leader in the exciting and growing field of machine vision. Our employees ... The team works across custom hardware, optimized embedded systems, and nextgeneration algorithm ...

Motional

Senior Embedded Software Engineer

Boston, MA · On-site +1

$134K - $176K/yr

... machine learning, sensors, and hardware compute platforms to evolve Motional's next-generation on ... If you are a software engineer and love the idea of working on embedded AI hardware and software ...

ASUS

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

ASUS Robotics & AI Center Senior Machine Learning Engineer The ASUS Robotics & AI Center is seeking ... Optimize models for real-time performance on embedded and edge computing platforms. * Build and ...

Xometry

Staff Machine Learning Engineer

Waltham, MA

... Xometry's embedded DFM AI + IQE integration with Teamcenter and Designcenter. You will be ... machine learning engineering, with a track record of owning and delivering complex ML systems in ...

ASUS

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global ... Optimize models for real-time performance on embedded and edge computing platforms. * Build and ...

Xometry

Staff Machine Learning Engineer

Waltham, MA · On-site

... Xometry's embedded DFM AI + IQE integration with Teamcenter and Designcenter. You will be ... machine learning engineering, with a track record of owning and delivering complex ML systems in ...

Xometry

Staff Machine Learning Engineer

Waltham, MA

$200K - $220K/yr

... Xometry's embedded DFM AI + IQE integration with Teamcenter and Designcenter. You will be ... machine learning engineering, with a track record of owning and delivering complex ML systems in ...

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 ...

Draper

Senior Machine Perception Researcher

Cambridge, MA · On-site +1

$82K - $220K/yr

Draper's Perception and Embedded Machine Learning Group seeks an engineer to help develop, integrate, and deploy advanced perception systems, including for autonomous vehicles and robots able to ...

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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 Jun 21, 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.

Will AI replace embedded programmers?

Embedded machine learning involves developing algorithms for resource-constrained devices, and while AI tools can assist with coding and optimization, embedded programmers are essential for designing, implementing, and maintaining these systems. AI is more likely to augment their work rather than fully replace them, especially given the need for specialized knowledge of hardware and real-time constraints.

Is embedded AI a good career?

Embedded machine learning involves developing AI models for hardware with limited resources, such as IoT devices and embedded systems. It is a growing field with demand for skills in hardware programming, C/C++, and AI frameworks, offering opportunities in industries like automotive, healthcare, and consumer electronics.

Is embedded systems still a good career in 2026?

Embedded Machine Learning remains a strong career in 2026 as industries increasingly adopt AI-powered devices and IoT solutions. Professionals with skills in hardware programming, real-time systems, and machine learning frameworks like TensorFlow Lite are in demand for developing intelligent embedded applications. Continuous learning and familiarity with microcontrollers, sensors, and embedded software development are essential for long-term growth in this field.

What engineers make $500,000?

Senior engineers in specialized fields such as embedded machine learning, AI, or data science can reach salaries of $500,000 or more, especially with extensive experience, advanced skills in programming and hardware, and leadership roles. High compensation often involves working in high-demand industries, with additional bonuses or stock options contributing to total earnings.

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 is an Embedded Machine Learning job?

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 the Embedded Machine Learning position, and why are they important?

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 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 June 2026, with employment types broken down into 70% Full Time, 15% Part Time, 7% Temporary, 4% Contract, and 4% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $166,636 per year, or $80.1 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Cognex Corporation

Natick, MA • On-site

$115K - $225K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Job Description
About Us:
Cognex is a global leader in the exciting and growing field of machine vision. Our employees, proudly called "Cognoids," are passionate about solving the most difficult vision problems with our embedded cameras and software products featuring state-of-the-art ID, 2D and 3D vision technology. Our Work Hard, Play Hard, Move Fast culture recognizes achievement and dedication with unique rewards and celebrations.
We are looking for creative, bright, motivated Cognoids who share our passion for excellence and want to make an impact at a dynamic, global company. We celebrate our employees for their innovation, perseverance, and hard work in a fun, rewarding, and quirky environment. If you enjoy the sense of accomplishment that comes from working together to create products that solve tough problems for organizations around the world, contact us to see how you can become part of our team!
This is a hybrid role based in our Natick, MA headquarters.
The Team
You will join the Core Vision Tools team that is responsible for building state-of-the-art computer vision algorithms and deep learning models used in all Cognex's products. The team works across custom hardware, optimized embedded systems, and next-generation algorithm design to deliver high-performance solutions that run at extreme speeds and scale globally across product lines.
Job Summary
We are seeking an experienced AI/ML engineer with strong research and development skills-someone deeply familiar with designing, training, evaluating, and deploying efficient deep learning models for computer vision. You will advance Cognex's AI capabilities by developing novel architectures, optimizing models for embedded platforms, and collaborating with R&D and product teams to bring research prototypes into production.
Essential Functions
  • Research, design, and implement efficient deep learning models for industrial machine vision tasks, with a focus on algorithms with low power, low latency and data efficiency requirements

  • Collaborate with cross functional engineers to transition experimental AI models into production-ready components for embedded systems.

  • Develop high-performance Python and C/C++ code for training, optimization, benchmarking, and deployment.

  • Lead model-architecture discussions and make long-term technical decisions across platforms.

  • Optimize neural networks for resource-constrained environments (quantization, pruning, distillation, hardware-aware design).

  • Build evaluation pipelines, datasets, and tools to assess model accuracy, robustness, runtime performance, and reliability.

  • Diagnose and resolve complex issues across hardware, software, and ML components.

  • Provide technical guidance to engineers developing UIs, test frameworks, and runtime components.

  • Mentor junior engineers and champion engineering excellence in ML research and development.

Knowledge, Skills, and Abilities
Essential
  • Industry or academic experience developing and optimizing deep learning algorithms in one or more relevant technical areas - computer vision, natural language processing, speech recognition

  • Deep understanding of AI concepts including training strategies, loss functions, evaluation metrics, and ML operations.

  • Strong Python programming skills.

  • Proficient C/C++ experience for performance-critical systems.

  • Proficiency with ML frameworks (PyTorch, TensorFlow), model optimization, and ML development lifecycles.

  • Strong debugging and analytical problem-solving skills.

  • Experience with software development practices including version control, CI/CD, and issue tracking.

  • Excellent communication and collaboration skills.

Desired
  • Background in computer vision, signal processing, or related fields.

  • Experience with embedded ML, quantization, or hardware-aware optimization.

  • Hands-on experience building and deploying efficient deep learning models for real-world computer vision applications.

Minimum Education & Experience
Bachelor's or Master's degree in Computer Science, Computer/Electrical Engineering, Mathematics or related field, and 5+ years of relevant experience in AI/ML, software engineering, or applied research roles.
Cognex believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is $115,000 USD - $225,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a sales incentive plan.
This position provides a comprehensive benefits package, including health, dental, and vision insurance; a 401(k) retirement plan with company matching; employer-paid disability, family leave, and life insurance; paid time off (including holidays); optional voluntary benefits; as well as recognition and wellness programs.
Additional Job Description
Equal Employment Opportunity
Cognex is an equal opportunity employer. Cognex evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.

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