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Hourly Embedded Machine Learning Jobs in Springfield, MA

Pwc

US Tech - AI Engineering Manager

Hartford, CT

$73.50K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... and embedded automated quality gates across CI/CD pipelines Travel Requirements Up to 20% Job ...

Triumph Group

Milling Machinist

Windsor, CT · On-site

$25.35 - $35.79/hr

Employment Type: Full-Time / Hourly Position Salary Range: Min= $25.35 / Max= $35.79 Our Vision: As ... and is embedded within our Performance Management processes. All employees are expected to ...

Triumph Group

Milling Machinist

Windsor, CT

$25.35 - $35.79/hr

Employment Type: Full-Time / Hourly Position Salary Range: Min= $25.35 / Max= $35.79 Our Vision: As ... and is embedded within our Performance Management processes. All employees are expected to ...

DataAnnotation

Full Stack Software Engineer

Hartford, CT · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Projects are paid hourly starting at $50-75+/hr , with bonuses on high-quality and high-volume work ...

DataAnnotation

Web Application Developer

Springfield, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Projects are paid hourly starting at $50-75+/hr , with bonuses on high-quality and high-volume work ...

DataAnnotation

Backend Developer

Springfield, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Projects are paid hourly starting at $50-75+/hr , with bonuses on high-quality and high-volume work ...

DataAnnotation

Software Engineer

Springfield, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Projects are paid hourly starting at $50-75+/hr , with bonuses on high-quality and high-volume work ...

DataAnnotation

Frontend Engineer

Springfield, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Projects are paid hourly starting at $50-75+/hr , with bonuses on high-quality and high-volume work ...

DataAnnotation

Frontend Software Engineer

Springfield, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Projects are paid hourly starting at $50-75+/hr , with bonuses on high-quality and high-volume work ...

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

As of May 30, 2026, the average yearly pay for hourly embedded machine learning in Springfield, MA is $152,847.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,000.00 and $172,400.00 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 popular job titles related to Hourly Embedded Machine Learning jobs in Springfield, MA? For Hourly Embedded Machine Learning jobs in Springfield, MA, the most frequently searched job titles are:
What cities near Springfield, MA are hiring for Hourly Embedded Machine Learning jobs? Cities near Springfield, MA with the most Hourly Embedded Machine Learning job openings:
Hourly Embedded Machine Learning jobs near you

Embedded Senior Software Engineer

Otis Worldwide Corporation

Bloomfield, CT • On-site

$92K - $116K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

Date Posted:
2025-09-24
Country:
United States of America
Location:
OT325: NSP - BLOOMFIELD, CT 212 WEST NEWBERRY RD, BLOOMFIELD, CT, 06002 USA
Would you like to join a truly international, talent driven company that values Safety, Ethics, Quality, Innovation and Employee Opportunity?
Otis Elevator is on the lookout for an Embedded Senior Software Engineer to join our team in developing embedded software for our commercial elevator products. The ideal candidate will thrive in a collaborative team environment and be open to guidance from senior team members as they design and develop embedded controls for our elevators. We're seeking someone who is talented, highly motivated, and forward-thinking, with a strong commitment to learning and adaptability. Excellent communication skills are essential to ensure alignment across the organization. Additionally, the candidate must adhere to the Otis Absolutes of Safety, Ethics, and Quality.
Additional Comments:
Given the nature of the position, applicants must have authorization to work in the U.S. now and in the future without sponsorship.
On a typical day you will:
  • Engage in embedded system software development, focusing on devices/system interaction and troubleshooting throughout the software development lifecycle, from concept to production.
  • Coordinate various project activities for elevator control system components, including control boards and field tools.
  • Implement software features and change requests in embedded software for elevator systems using high-level C/C++ language.
  • Develop and execute unit and integration tests in an engineering lab environment, utilizing hardware simulators.
  • Document test procedures, results, software requirements, and design implementation details.
  • Quickly adapt to and understand the existing complex environment, including elevator control hardware and its interfaces with other system components.
  • Conduct regression testing to support software releases and enhance existing elevator control software with new features.
  • Manage configuration control and change management of new software, troubleshoot field issues, and provide appropriate software solutions.
  • Adhere to established coding standards and promote code reviews to ensure the delivery of high-cohesion software.
  • Work on both legacy elevator controls and new product development initiatives.

What you will need to be successful:
  • Bachelor's degree in computer engineering, Electrical Engineering, Computer Science, or a closely related field with at least 7 years of experience, or a master's degree in software engineering with a minimum of 5 years of experience
  • Strong embedded C/C++ development experience
  • Strong technical knowledge in relevant area of expertise: Embedded working experience on Embedded Linux or other RTOS (VxWorks, ThreadX, Green Hills, etc.), inter process communication, and multithreaded applications
  • Experience with Python
  • Good VB.NET or VC# experience for designing UI/UX simulator tools
  • Hands on development experience with either of the communication protocols like CAN, RS232, RS422, RS485, SPI, I2C, Timers, EEPROM and Flash Driver interfaces
  • Experience with source version control systems (Git, Subversion, Atlassian tools)
  • Experience with multi-threaded application and real time debugging experience with advanced tools like emulators, logic serial analyzers, remote debugging, scopes, serial line analyzer, JTAG/BDM and CANalyzer
  • Must be able to travel up to 25% domestically and internationally

Preferred Skills:
  • Experience on ColdFire and ARM 32-bit microcontrollers
  • Experience with defect tracking software such as JIRA, Bugzilla
  • Understanding Cyber Security
  • Able to understand hardware design and schematics, including electrical 1-line and 3-line at high level
  • Able to work in elevator hoist ways and machine rooms as needed
  • Working experience in product-based companies.

What we offer:
  • We offer a 401(k) plan with a generous company match and an automatic retirement contribution for your future financial security from day one of your employment, you and your eligible dependents will receive comprehensive medical, prescription drug, dental, and vision coverage.
  • Enjoy three weeks of paid vacation, along with paid company holidays
  • We provide paid sick leave, employee assistance, and wellness incentive programs to support your well-being.
  • Life insurance and disability coverage to protect you and your family.
  • Voluntary benefits, including options for legal, pet, home, and auto insurance.
  • We offer generous birth/adoption and parental leave benefits, as well as adoption assistance, to support growing families.
  • Pursue your educational goals with our tuition reimbursement program.
  • Recognize and be recognized! We celebrate service anniversaries and offer spot performance bonus opportunities to show our appreciation.

The salary range for this role is $92,000-$116,000. We may ultimately pay more or less than the posted range, and the range may change in the future. Pay within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.
If you live in a city, chances are we will give you a lift or play a role in keeping you moving every day.
Otis is the world's leading elevator and escalator manufacturing, installation, and service company. We move 2.4 billion people every day and maintain approximately 2.4 million customer units worldwide, the industry's largest Service portfolio.
You may recognize our products in some of the world's most famous landmarks including the Eiffel Tower, Empire State Building, Burj Khalifa and the Petronas Twin Towers! We are 72,000 people strong, including engineers, digital technology experts, sales, and functional specialists, as well as factory and field technicians, all committed to meeting the diverse needs of our customers and passengers in more than 200 countries and territories worldwide. We are proud to be a diverse, global team with a proven legacy of innovation that continues to be the bedrock of a fast-moving, high-performance company.
When you join Otis, you become part of an innovative global industry leader with a resilient business model. You'll belong to a diverse, trusted, and caring community where your contributions, and the skills and capabilities you'll gain working alongside the best and brightest, keep us connected and on the cutting edge.
We provide opportunities, training, and resources, that build leadership and capabilities in Sales, Field, Engineering and Major Projects and our Employee Scholar Program is a notable point of pride, through which Otis sponsors colleagues to pursue degrees or certification programs.
Today, our focus more than ever is on people. As a global, people-powered company, we put people - passengers, customers, and colleagues - at the center of everything we do. We are guided by our values that we call our Three Absolutes - prioritizing Safety, Ethics, Quality in all that we do. If you would like to learn more about environmental, social and governance (ESG) at Otis click here.
Become a part of the Otis team and help us #Buildwhatsnext!
Otis is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other protected class according to applicable law. To request an accommodation in completing an employment application due to a special need or a disability, please contact us at careers@otis.com.
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