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Hourly Embedded Machine Learning Jobs in Boston, MA

Senior Machine Perception Researcher

Cambridge, MA ยท 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 ...

Senior Machine Learning Scientist

Boston, MA ยท 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'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 ...

Machine Learning And Artificial Intelligence Developer Synergistic IT is a full-service staffing ... Depending on the type of applications, the AI and Client models operate on daily, hourly, down to 1 ...

Senior Embedded Software Engineer

Boston, MA ยท 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 ...

Senior Embedded Software Engineer

Boston, MA ยท 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 ...

Applied ML Engineer

Boston, MA ยท Hybrid

$190K - $250K/yr

Stay current with the latest research and tools in machine learning and evaluate their ... Experience with edge or embedded ML deployments, including model compression and hardware-aware ...

You will be part of teams performing Test and Evaluation (T&E) of AI and machine learning models ... embedded systems. * Support the transition of the developed algorithms to software using one or ...

You will lead teams and strategy for Algorithm Test and Evaluation (T&E) of AI and machine learning ... time embedded systems. Requirements: * US CITIZENSHIP REQUIRED and an Active Top Secret U.S.

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Hourly Embedded Machine Learning information

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$76K

$166.6K

$189K

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

As of Jun 11, 2026, the average yearly pay for hourly 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 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 Boston, MA? The most popular types of Embedded Machine Learning jobs in Boston, MA are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Boston, MA look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Boston, MA are:
What cities near Boston, MA are hiring for Hourly Embedded Machine Learning jobs? Cities near Boston, MA with the most Hourly Embedded Machine Learning job openings:
Senior Machine Perception Researcher

Senior Machine Perception Researcher

Draper

Cambridge, MA โ€ข On-site, Remote

$82K - $220K/yr

Full-time

Posted 7 days ago


Job description

Overview:

Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visit www.draper.com.

Job Description Summary:

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 operate in complex environments such as underwater, ground, air, and space. Examples of previous systems developed by our group include vision-based Terrain Relative Navigation (TRN) for guided parafoils or spacecraft landing, vision-aided inertial navigation for UAVs, localization systems for teams of soldiers, and real-time 3D mapping.

Job Description:

Duties/Responsibilities
Evaluates requirements, proposes solutions, explores design trades to support a design.
Designs algorithms using modern theory and proven techniques.
Develops embedded software based on prototype algorithms.
Analyzes designs to demonstrate performance and functionality.
Develops and executes software tests to check compliance with requirements.
Evaluates results to establish problem causes and develop solutions for inefficient or problems.
Prepares technical data, procedures, reports, drawings, manuals, and other required documentation.
Communicates with customers and stakeholders to establish requirements and describe the design and deliverables.
Tracks priorities, scope, schedule, and cost.
Performs other duties as assigned.
Skills/Abilities
Strong programming skills in MATLAB, Python, C/C++.
Excellent analytical and problem-solving skills.
Excellent written and verbal communication skills.
Knowledge of Autonomy and GNC algorithms and technology.
Knowledge of real-time software development tools
Knowledge of project execution, designing, developing, and validating real-time algorithms and software.
Familiarity with trajectory optimization, optimal control, and similar techniques.
Significant knowledge of design and implementation of trajectory design/optimization algorithms including optimal control techniques.
Strong project execution and teamwork skills.
Strong analytical and problem-solving capabilities.
- Ability to clearly communicate work assignments to team members.
Education
Bachelor's Degree in Aerospace Engineering, Electrical Engineering, or a related field is required.

Masters or PhD in a related field is preferred.
Experience
5-10 years of Software Engineering or related experience is required.

Additional Job Description:

Applicants selected for this position will be required to obtain and maintain a government security clearance. Secret clearance is preferred.

Connect With Draper for Future Opportunities! If you don't find the right posting in our Career Opportunities, you may submit your resume for future consideration.

Job Location - City:

Cambridge

Job Location - State:

Massachusetts

Job Location - Postal Code:

02139-3563

The US base salary range for this full-time position is

$82,300.00 - $220,000.00

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Union ranges will be in compliance with the collective bargaining agreement's approved rates by location and role. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and does not include bonuses or benefits.

Our work is very important to us, but so is our life outside of work. Draper supports many programs to improve work-life balance including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off site social events and discounts to local museums and cultural activities. If this specific job opportunity and the chance to work at a nationally renowned R&D innovation company appeals to you, apply now www.draper.com/careers.

Draper is committed to creating an inclusive environment. We understand the value of inclusivity and its impact on a high-performance culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, national origin, veteran status, or genetic information. Draper is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact hr@draper.com.