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Hourly Embedded Machine Learning Jobs in Massachusetts

National Geographic

Senior Data Science Engineer

Boston, MA · On-site

$120.80 - $151/hr

You'll work closely with machine learning engineers to develop new product capabilities and uncover ... solutions embedded within customer-facing systems. * Mentor junior data scientists and share ...

NxT Level

Lead Engineer, MLOps

Boston, MA · On-site

$111K - $146K/yr

... and embedded data science engineering. The team partners closely with data scientists to ensure forecasting, network orchestration, pricing, routing, and other machine learning systems are well ...

NxT Level

Lead Engineer, MLOps

Boston, MA

$111K - $146K/yr

... and embedded data science engineering. The team partners closely with data scientists to ensure forecasting, network orchestration, pricing, routing, and other machine learning systems are well ...

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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 Software Development Engineer (Embedded Software)

Analogdevices

Wilmington, MA

$117K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Job description

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.comand on LinkedIn and X.

Employer: Analog Devices, Inc.

Job Title: Senior Software Development Engineer (Embedded Software)

Job Requisition: 1010.169.9 / TBD

Job Location: Wilmington, R263308

Job Type: Full Time

Rate of Pay:$117,571 - $165,615 per year

Duties:

Architect, design, develop, and validate embedded modular system software and low-level firmware in C/C++ for RF/high-speed converter front-end, chip, and SoC products. Collaborate with a broad, cross-functional team, including RF transceiver Analog/Digital/System Designers, FPGA Designers, and Applications Engineers. Lead the definition and development of system prototypes and technology demonstrators to explore new architectures in RF system design and calibration. Design and develop MEMS (Micro-Electro-Mechanical Systems) system products, software roles focusing on algorithms for sensor calibration, data processing, and error correction. Design, develop, and validate embedded software for MEMS IMU/GNSS (Global Navigation Satellite System) sensor fusion products. Implement machine learning techniques for optimizing sensor performance, anomaly detection, and predictive maintenance in embedded systems.

Partial Telecommute Benefit (2 days/week work from home).

Requirements: Must have a Master's degree in Electrical Engineering, Electronic Engineering, or a related field (willing to accept a foreign education equivalent) and three (3) years of experience in the proffered position or a related occupation, developing embedded software, embedded software frameworks, and device drivers for RF transceivers and MEMs products.

Must also possess the following (quantitative experience requirements not applicable to this section):

  • Demonstrated Expertise (DE) in embedded programming with ARM Assembly and C/C++, integrating ARM microcontroller platforms into complex system-level designs, including ASICs and SOCs;
  • DE in software development methodology and process, designing and implementing software frameworks for unit testing, code coverage, and CI/CD pipelines;
  • DE in software design or architecture for high-speed digital converter systems;
  • DE in Digital Signal Processing (DSP) algorithms for RF transceivers and control theories, along with proficiency in Python and MATLAB;
  • DE in system design and compensation algorithms using accelerometers and gyroscopes; and
  • DE with GNSS technology and the implementation of sensor fusion algorithms.

Contact: Eligible for employee referral program. Apply online at https://www.analog.com/en/careers.html and Reference Position Number: R263308.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: ExperiencedRequired Travel: NoShift Type: 1st Shift/Days

  • Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

  • This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.

  • This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

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