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Hourly Embedded Machine Learning Jobs in Prairie du Sac, 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 ...

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Hourly Embedded Machine Learning information

See Prairie du Sac, WI salary details

$64.4K

$141.1K

$160.1K

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

As of Sep 14, 2026, the average yearly pay for hourly embedded machine learning in Prairie du Sac, WI is $141,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $159,200.00 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 cities near Prairie du Sac, WI are hiring for Hourly Embedded Machine Learning jobs?

Cities near Prairie du Sac, WI with the most Hourly Embedded Machine Learning job openings:

Hourly Embedded Machine Learning jobs near you
Infographic showing various Hourly Embedded Machine Learning job openings in Prairie du Sac, WI as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Contract, and 1% Nights. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $141,148 per year, or $67.9 per hour.

Senior Software Engineer (Quantum Computing)

Madison, WI • On-site

Infleqtion
See more jobs at Infleqtionexternal

$160K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

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.

We build quantum computers. You will write the software that runs them.

This is a production-first, high-coding role - roughly 90% of your time will be spent writing and owning code, not reviewing or directing others who do. You will work directly alongside physicists and hardware engineers, converting complex scientific requirements into software that controls real quantum machines. If you are looking to step back from the keyboard, this is not that role.

Requirements

You will
  • Write, own, and ship production backend services and control frameworks that directly operate and calibrate our neutral atom quantum computers - if it breaks, you fix it.
  • Debug and support every layer of the control stack - from real-time embedded kernels to distributed services - without handing it off when it gets hard.
  • Build reliable tooling that lets physicists and hardware engineers run experiments independently, which means understanding what they need well enough to build it without a lengthy translation process.
  • Develop and maintain CI/CD pipelines, containerized deployments using Docker and Kubernetes, and Python packages with C++ or Rust extensions in a Linux-native environment.
  • Work hands-on with experimental data - time-series, SQL and non-relational databases, and realtime image analysis and object detection from live quantum systems.
You have
  • 6+ years of backend software engineering; a degree in Computer Science, Physics, Applied Mathematics, or a field where writing code to solve hard quantitative problems was the norm, not the exception.
  • Production-tested Python and hands-on C++ or Rust experience - both is a strong advantage; candidates who bring all three move to the front.
  • A track record of rigorous engineering discipline: comprehensive testing, clean revision control, operational reliability, maintainable systems, thorough documentation, and a reflex for code health - not as process, but as habit.
  • Real experience with scientific or experimental data pipelines - NumPy, SciPy, PyTorch, time-series storage, and ETL - ideally in a context where data quality directly affected outcomes.
  • A science or mathematics background, or verifiable experience embedded with scientists translating research requirements into production software - you can hold your own in a conversation about physics.
  • Familiarity with statistics, machine learning, or AMO physics is a genuine differentiator; experience with realtime image analysis and object detection moves you to the top of the list.

Benefits

The targeted salary range for this role is $160,000 to $185,000 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

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.

Note

This position may require access to information protected under U.S. export control laws and regulations for quantum computing technology. Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.

Contact Information

If this opportunity interests you and you fit the job description, please submit an application. If you need assistance or an accommodation due to disability, please feel free to contact us at hr@infleqtion.com.

Notice to Recruitment Agencies:

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

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