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Hourly Embedded Machine Learning Jobs in Madison, WI

... and machine learning (ML), and their applications in pricing, budgeting, and financial modeling ... Support the development of non-hourly and alternative fee arrangements (AFAs) using advanced ...

Frequent use of hearing to distinguish body sounds and/or hear alarms, malfunctioning machinery ... Flexible Payment Options: our voluntary benefit offered through DailyPay offers eligible hourly ...

Physical Therapy Assistant (PTA)

Waterloo, WI ยท On-site

$27 - $35.75/hr

Hourly Summary of Position At MJ Care, our mission is simple: support students so they can fully ... This role is embedded within the rhythm of a school-balancing direct student interaction ...

Stocking Team Associate

Jefferson, WI ยท On-site

$14 - $27/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Stocking Team Associate

Dodgeville, WI ยท On-site

$15 - $28/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Stocking Team Associate

Stoughton, WI ยท On-site

$16 - $29/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Stocking Team Associate

Sun Prairie, WI ยท On-site

$16 - $29/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Stocking Team Associate

Janesville, WI ยท On-site

$14 - $27/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

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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 Jul 13, 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 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 job categories do people searching Hourly Embedded Machine Learning jobs in Madison, WI look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Madison, WI are:
Senior Pricing Analyst

Senior Pricing Analyst

Husch Blackwell Llp

Madison, WI โ€ข On-site, Remote

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 5 days ago


Job description

Husch Blackwell LLPย is a full-service litigation and business law firm with multiple locations across the United States, serving clients with domestic and international operations.

At Husch Blackwell we believe that diverse, equitable and inclusive teams lead to better outcomes. Husch Blackwell is committed to retaining, recruiting, developing, and promoting talented lawyers and business professionals with diverse backgrounds and experiences. We foster an engaged, diverse, and inclusive team culture of accountability and purpose that makes our Firm and our communities better.

Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation. If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Senior Pricing Analystย position. This position may be filled remotely, or in any of our locations.

The Senior Pricing Analyst will report to the Associate Director of Strategic Pricing and will support pricing initiatives that align with a variety of Firm strategic goals.ย  The Senior Pricing Analyst will also stay abreast of emerging technologies, including artificial intelligence (AI) and machine learning (ML), and their applications in pricing, budgeting, and financial modeling within the legal industry. Essential job functions include:

  • Support the development of creative pricing arrangements, financial models, and budgets to align with Firm revenue and profitability initiatives and strategic goals.
  • Generate financial analyses that support pricing strategies, policies, and the optimization of pricing management.
  • Collaborate with cross-functional teams to gather data and insights relative to strategic pricing development.
  • Monitor and evaluate pricing performance metrics and provide actionable recommendations for improvement.
  • Support the development and maintenance of team processes, checklists, pricing repository and other resources to enhance the pricing function.
  • Assist in responding to requests from attorneys for matter planning, budgeting, pricing estimates and tracking.
  • Assist in responding to requests for proposals specific to pricing strategies; prepare pricing estimates.
  • Conduct market and competitive pricing analysis to identify trends and opportunities in conjunction with the annual timekeeper rate setting process.
  • Work with and coach attorneys to understand and identify client priorities, negotiation strategies, scope and assumptions, and evaluate relevant factors and risks that may impact pricing and matter management.
  • Develop effective relationships with attorneys and business professionals across the firm.
  • Leverage advanced analytics and AI-powered tools to improve pricing strategies, automate repetitive processes, and enhance forecasting accuracy.
  • Evaluate and implement technology solutions that support pricing and matter management, including AI-driven tools for predictive pricing, cost estimation, and profitability analysis.
  • Collaborate with IT and data teams to ensure seamless integration of pricing tools and technologies with existing systems, such as Elite 3E, Iridium, and data warehouses.
  • Research and assess the impact of AI and automation on pricing models, client behavior, and market trends to ensure the firm remains competitive.
  • Act as a subject matter expert on the use of technology in pricing, providing training and guidance to attorneys and business professionals on tools and platforms that enhance efficiency and decision-making.
  • Identify opportunities to use AI to analyze historical data, client preferences, and case outcomes to inform pricing recommendations and improve client satisfaction.
  • Support the development of non-hourly and alternative fee arrangements (AFAs) using advanced modeling techniques and technology to optimize profitability while meeting client expectations.
  • Incorporate data visualization and AI-driven insights into pricing presentations and proposals to enhance understanding and engagement with stakeholders.

Position Requirements

  • 4-year degree with major coursework in Finance preferred; or combination of education and commensurate work experience required.
  • Trade training preferred; 5 years of related work experience in pricing, financial, profitability analysis or economics, preferably in a professional services environment; knowledge of legal statistical modeling and pricing tools required.
  • Robust analytical skills and ability to utilize computer systems and related tools, including Elite 3E, Iridium, Microsoft Excel, Outlook, Word, and PowerPoint.
  • Demonstrated proficiency in all Microsoft office products, especially Excel.
  • SQL proficiency preferred.
  • Familiarity with data warehouse extraction and budget platforms.
  • Experience with or willingness to learn AI-powered pricing and financial modeling tools, such as Predictive Analytics platforms, Tableau, or Power BI.
  • Familiarity with emerging legal technology solutions, including AI-based tools for matter management, pricing optimization, and contract analysis.
  • Demonstrated ability to analyze and interpret large datasets using AI tools or programming languages such as Python or R (preferred but not required).
  • Knowledge of legal technology trends and how they impact pricing, including the use of AI to improve efficiency and transparency in client engagements.
  • Strong understanding of non-hourly and alternative fee arrangements (AFAs) and how technology can be leveraged to streamline AFA implementation and tracking.
  • Ability to think strategically about the role of technology and AI in pricing and to communicate these ideas effectively to attorneys and leadership.
  • Adaptability to a rapidly evolving legal technology landscape and willingness to explore innovative solutions to pricing challenges.

The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities, or requirements. The Firm will provide reasonable accommodations as necessary to allow an individual with a disability to apply for and/or perform the essential functions of a position.ย  If you need assistance to accommodate a disability, please contact HR.

COMPENSATION AND BENEFITS

Employees are entitled to compensation commensurate with skill and experience.ย The exact compensation will vary based on skills, experience, location, and other factors permitted by law.ย The expected compensation ranges for this position in various states and jurisdictions are as follows:

  • State of California: $86,000 - $175,000
  • State of Colorado: $79,000 - $141,000
  • State of Illinois: $78,000 - $151,000
  • State of Massachusetts: $86,000 - $164,000
  • State of Maryland: $83,000 - $126,000
  • State of Minnesota: $86,000 - $142,000
  • Jersey City, NJ: $93,000 - $169,000
  • State of New York: $80,000 - $173,000
  • State of Vermont: $85,000 - $163,000
  • State of Washington: $83,000 - $158,000
  • Washington, D.C.: $111,000 - $163,000

The above salaries do not include a discretionary bonus, however bonus opportunities are non-guaranteed, and are dependent upon individual and firm performance. Full-time employees receive benefits including: medical and dental coverage; life insurance; short-term and long-term disability insurance; pre-tax flexible spending account for certain medical and dependent care expenses; an employee assistance program; Paid Time Off; paid holidays; participation in a retirement plan program after meeting eligibility requirements; and more.

Please submit a cover letter and resume when applying.

EOE/Minority/Female/Disabled/Vet.ย  Principal Applicants Only.

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