ZipRecruiter

Log In

1

Hourly Embedded Machine Learning Jobs in Massachusetts

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 ...

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

$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 · 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 ...

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

$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 ...

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 ...

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 ...

next page

Showing results 1-20

All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in Massachusetts

Hourly Embedded Machine Learning information

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

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

How does an Hourly Embedded Machine Learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What is an Hourly Embedded Machine Learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What are the most commonly searched types of Embedded Machine Learning jobs in Massachusetts? The most popular types of Embedded Machine Learning jobs in Massachusetts are:
What are popular job titles related to Hourly Embedded Machine Learning jobs in Massachusetts? For Hourly Embedded Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Massachusetts look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Massachusetts are:
What cities in Massachusetts are hiring for Hourly Embedded Machine Learning jobs? Cities in Massachusetts with the most Hourly Embedded Machine Learning job openings:
Hourly Embedded Machine Learning jobs near you
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 3 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.

Apply