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Freelance Embedded Machine Learning Jobs in Boston, MA

MORSE Corp

Machine Learning Engineer

Cambridge, MA · On-site

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role ... embedded system. You will be part of our team working to accelerate our US National Security ...

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

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

$134.70K - $176.50K/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

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 ...

Axon

Senior Machine Learning Scientist

Boston, MA · On-site

$99.40K - $135.80K/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

Machine Perception Researcher

Cambridge, MA · On-site

$75K - $156K/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 ...

Draper Labs

Machine Perception Researcher

Cambridge, MA

$75K - $156K/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 ...

Draper

Machine Perception Researcher

Cambridge, MA · On-site

$75K - $156K/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 ...

Axon

Senior Machine Learning Scientist

Boston, MA · On-site

$99.40K - $135.80K/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 ...

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Freelance Embedded Machine Learning information

See Boston, MA salary details

$76K

$166.6K

$189K

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

As of Jun 1, 2026, the average yearly pay for freelance 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 are the key skills and qualifications needed to thrive as a Freelance Embedded Machine Learning Engineer, and why are they important?

To thrive as a Freelance Embedded Machine Learning Engineer, you need expertise in embedded systems, machine learning algorithms, and proficiency in programming languages such as C/C++ and Python, typically supported by a relevant degree in computer engineering or a related field. Familiarity with microcontrollers, edge AI frameworks (like TensorFlow Lite), and tools for model optimization and deployment is crucial. Strong problem-solving, self-motivation, and effective communication with clients set top freelancers apart. These skills ensure the delivery of efficient, reliable embedded ML solutions tailored to client needs and the constraints of resource-limited devices.

What are some common challenges faced by freelance embedded machine learning engineers when working with clients?

Freelance embedded machine learning engineers often encounter challenges such as balancing client expectations with the hardware limitations of edge devices, ensuring model efficiency and accuracy within strict resource constraints, and integrating ML solutions into existing embedded systems. Clear communication with clients about feasible outcomes and iterative prototyping can help address these challenges. Additionally, freelancers may need to manage diverse project requirements and collaborate closely with cross-functional teams, including hardware engineers and software developers, to deliver successful solutions.

What is a Freelance Embedded Machine Learning Engineer?

A Freelance Embedded Machine Learning Engineer is a professional who designs, develops, and implements machine learning algorithms on embedded systems, such as microcontrollers or edge devices, while working independently or on a contract basis. They typically work on projects that require bringing intelligence to hardware-constrained devices, enabling features like real-time data processing, anomaly detection, or predictive maintenance. Freelancers in this field often collaborate with clients from industries such as IoT, automotive, healthcare, and consumer electronics, providing flexible and specialized expertise without long-term employment commitments.

What is the difference between Freelance Embedded Machine Learning vs Embedded Software Engineer?

AspectFreelance Embedded Machine LearningEmbedded Software Engineer
CredentialsRelevant certifications in machine learning, embedded systems, programming languages (C/C++, Python)Degree in computer engineering, electrical engineering, or related fields; programming skills in C/C++, RTOS knowledge
Work EnvironmentRemote, project-based, client-specific embedded ML applicationsIn-house or remote development of embedded systems for various industries
Industry UsageAI-driven embedded devices, IoT, robotics, consumer electronicsAutomotive, industrial automation, consumer electronics, medical devices

Freelance Embedded Machine Learning specialists focus on developing AI models for embedded devices on a project basis, often working remotely. Embedded Software Engineers design and implement software for embedded systems, typically within a company or industry setting. While both roles require embedded systems knowledge, freelance embedded ML emphasizes AI integration, whereas embedded software engineering covers broader system development.

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 Freelance Embedded Machine Learning jobs in Boston, MA? For Freelance Embedded Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Freelance Embedded Machine Learning jobs in Boston, MA look for? The top searched job categories for Freelance Embedded Machine Learning jobs in Boston, MA are:
Freelance Embedded Machine Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

MORSE Corp

Cambridge, MA • On-site

Other

Posted 25 days ago

Job description

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer vision (CV) and other types of data. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms. MORSE's AI & ML work crosses modalities, and experience or interest in the fields of Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE's current team of engineers to transition algorithms to production, which may run on on-prem servers, on the cloud, or on a real-time embedded system. You will be part of our team working to accelerate our US National Security customers abilities to use natural language processing capabilities in mission-critical environments. 

Responsibilities: 
  • Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking.  
  • Use MLOps tools for efficient experiment tracking, data management, and reproducibility 
  • Write robust, efficient, and maintainable code 
  • Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE 
  • Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models 

Skills and Requirements: 
  • US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance 
  • Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field 
  • Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models 
  • Proven experience testing and validating the performance of AI technologies in real-world applications 
  • Proficiency in Python 
  • Experience with cloud platforms (AWS and Azure) 
  • Experience with Docker 
  • Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc. 
  • Exceptional communication skills and the ability to work well with customers 
  • Understanding of Department of Defense requirements and standards is a plus 

Apply