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Hourly Embedded Machine Learning Jobs in Madison, WI

Kforce Technology Staffing

Lead Data Engineer

Madison, WI · On-site

$103K - $136K/yr

Partner with Data Science and Analytics teams to enable advanced modeling and machine learning ... Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a ...

Saelens Corporation

Manufacturing Engineer

Johnson Creek, WI · On-site

$73K - $94K/yr

In this role, you will play a key part in programming, optimizing, and improving CNC machining ... Continuous Learning: * Implement new technologies to improve manufacturing processes. * Stay ...

Placon Corporation

Tooling Apprentice - Nights

Madison, WI · On-site

$20 - $26/hr

... learning a skilled trade. No prior tooling experience is required for the right candidate. We are ... If you're eager to learn machining, tool maintenance, CNC equipment, blueprint reading, and ...

Placon Corporation

Tooling Apprentice - Nights

Madison, WI · On-site

$20 - $26/hr

... learning a skilled trade. No prior tooling experience is required for the right candidate. We are ... If you're eager to learn machining, tool maintenance, CNC equipment, blueprint reading, and ...

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All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in Madison, WI

Hourly Embedded Machine Learning information

See Madison, WI salary details

$70.5K

$154.6K

$175.3K

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

As of Sep 10, 2026, the average yearly pay for hourly embedded machine learning in Madison, WI is $154,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,500.00 and $174,300.00 per year, depending on experience, location, and employer.

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.

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 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.

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 Madison, WI?

For Hourly Embedded Machine Learning jobs in Madison, WI, the most frequently searched job titles are:

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The top searched job categories for Hourly Embedded Machine Learning jobs in Madison, WI are:

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Cities near Madison, WI with the most Hourly Embedded Machine Learning job openings:

Hourly Embedded Machine Learning jobs near you

Senior Software Engineer (Quantum Computing)

Madison, WI • On-site

Infleqtion
See more jobs at Infleqtionexternal

$106K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services and frameworks that control and calibrate quantum computers.

  • Collaborate with interdisciplinary teams to solve complex problems and deliver high-quality software solutions.

  • Support and debug all layers of the control stack from real-time embedded kernels to distributed services.

Job description

Infleqtion is on a mission to commercialize atom-based quantum technologies that deliver orders-of-magnitude improvements in sensing and computing applications. We are seeking self-motivated, energetic individuals with exceptional problem-solving and technical skills to help drive our Quantum Computing mission forward.

At Infleqtion we embrace a startup mentality driven by results, urgency, and customer-focused innovation:

  • We break down barriers between disciplines, stepping in wherever we can make the biggest impact.
  • We thrive in uncertainty, embracing challenges as opportunities.
  • We move quickly to prototype while never losing sight of the critical importance of systems engineering process and attention to detail.
  • We take bold, calculated risks to drive progress.

We are seeking a Senior Software Engineer to join the team building the control system software for Infleqtion’s quantum computers. The ideal candidate is an experienced backend engineer with a strong background in creating robust and scalable scientific applications. You will play a crucial role in designing, building, and maintaining backend services and control systems that drive our neutral atom quantum machines.

JOB RESPONSIBILITIES

The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time.

  • Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services and frameworks that control and calibrate our neutral atom quantum computers.
  • Collaborate with interdisciplinary teams, including scientists, opto-mechanical engineers, and electrical engineers, to solve complex problems and deliver high-quality software solutions.
  • Empower interdisciplinary teams to create the tools they need by teaching engineering and programming best practices.
  • Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise.
  • Lead code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration.
  • Support and debug all layers of the control stack from real-time embedded kernels to distributed services.
  • Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality.

Requirements

  • Bachelor's degree in Computer Science, Applied Mathematics, Physics or related field and a minimum of 5 years prior work experience
  • Experience with Python and at least one compiled language, with a desire to learn and work in Rust
  • Experience with Linux and virtualization technologies like Docker
  • Good verbal and written communication skills, able to effectively share information with technical and non-technical staff
  • Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance
  • Skilled in typical software engineering disciplines: testing, debugging, revision control, error-handling, readability, documentation, general code health, etc.
  • Desire to constantly improve and learn inside and outside of expertise
PREFERRED EXPERIENCE:
  • Domain-specific experience in statistics, machine learning, or AMO physics
  • Experience with Numpy, Scipy, and Pytorch
  • Experience with image analysis, emphasis on realtime object detection
  • Experience with databases (relational and non-relational) including but not limited to timeseries data, SQL, and ETL processes
  • Experience creating CI/CD pipelines, and Python package creation with C or Rust extensions

Benefits

The targeted salary range for this role is $106,000 to $145,000 on an annualized basis plus eligibility to participate in our annual incentive plan.

In addition to your base compensation, we offer a generous Total Rewards program which includes:

  • 100% company paid Employee coverage for Medical, Dental, Vision, and Short/Long Term Disability insurance programs
  • Employer funded Health Savings Account
  • Unlimited Paid Time Off
  • 401(k) Matching Programs
  • Company paid Life and AD&D Insurance
  • Flexible Healthcare Savings Account
  • Paid FMLA Leave
  • Paid Maternity/Paternity Leave
  • Employer Assistance Program
  • Student Loan Repayment

Notice to Recruitment Agencies:

Infleqtion does not accept unsolicited resumes from agencies. Infleqtion is not responsible for any fees related to unsolicited resumes.

Equal Opportunity

Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin color, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer.