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Machine Learning Software Engineer Jobs in Madison, WI

AgSource

AI Engineer

Watertown, WI · On-site +1

You'll work at the intersection of data, machine learning, software engineering and product to turn complex, real-world data into production AI solutions. This isn't about AI for AI's sake. Sometimes ...

Bespoke Labs

Machine Learning Engineer

Madison, WI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Whitewater, WI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

AMC Health

Senior Software Engineer Applied AI

Madison, WI · On-site

$123K - $162K/yr

Senior Software Engineer: Applied AI (Voice Agents & ML Systems) AMC Health Remote (US) Full-time ... plus the machine learning and LLM pipelines around them. This is one seat that spans four ...

New

Paradigm

Senior ML Ops Engineer

Middleton, WI · On-site

$123K - $170K/yr

... Machine Learning Engineers, Data Scientists, Software Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment efficiency. · Implement and maintain IaC patterns ...

Varsity Tutors

Machine Learning Tutor

Madison, WI · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Insperity

Artificial Intelligence Engineer III

Madison, WI

$58 - $77.75/hr

This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The ...

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The ...

Yahara Software

Software Development Engineer

Madison, WI · On-site

$110 - $140/hr

Software Development Engineer We're looking for exceptionally talented Software Development ... Design, train, and deploy machine learning models to solve business problems and improve system ...

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All JobsMachine Learning Software Engineer JobsMachine Learning Software Engineer Jobs in Madison, WI

Machine Learning Software Engineer information

See Madison, WI salary details

$64K

$148.7K

$207.1K

How much do machine learning software engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning software engineer in Madison, WI is $148,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $174,300.00 per year, depending on experience, location, and employer.

What does a machine learning software engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive as a machine learning software engineer?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

Is machine learning software engineer a high paying job?

Machine learning software engineers typically earn high salaries due to the specialized skills required, such as proficiency in programming languages like Python and experience with frameworks like TensorFlow. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.

What are popular job titles related to Machine Learning Software Engineer jobs in Madison, WI?

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

What job categories do people searching Machine Learning Software Engineer jobs in Madison, WI look for?

The top searched job categories for Machine Learning Software Engineer jobs in Madison, WI are:

Machine Learning Software Engineer jobs near you
Infographic showing various Machine Learning Software Engineer job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $148,671 per year, or $71.5 per hour.

AI Engineer

AgSource

Watertown, WI • On-site, Remote

Full-time

Posted 23 days ago

Job description


Turn decades of data into intelligence that helps feed the world.
VAS has decades of longitudinal data from some of the most productive dairy operations in the world. Our next challenge is turning that data into actionable intelligence that helps producers make better decisions.
We're looking for an AI Engineer to help build the next generation of intelligent capabilities within our products. You'll work at the intersection of data, machine learning, software engineering and product to turn complex, real-world data into production AI solutions.
This isn't about AI for AI's sake. Sometimes the right answer is machine learning. Sometimes it's optimization, classical statistics or generative AI. We want someone with the technical depth and judgment to know the difference.
What You'll Do
  • Build and deploy production-grade AI/ML solutions that turn complex farm data into actionable intelligence.
  • Explore large, distributed and legacy datasets to uncover patterns and opportunities for new product capabilities.
  • Engineer features, select modeling approaches and design experiments to evaluate outcomes.
  • Move models from exploration into scalable, real-time production applications.
  • Integrate, deploy, fine-tune and monitor models using cloud infrastructure, including AWS and Databricks.
  • Build testing and observability for AI systems, including behavioral testing, trace analysis and agent debugging.
  • Evaluate emerging technologies such as agentic AI, MCP and orchestration frameworks.
  • Partner with product, engineering and dairy science teams to turn ambiguous customer problems into working solutions.
  • Help advance the tools, standards and practices that will support AI development at VAS.
  • Collaborate on user-facing AI experiences using React and TypeScript when needed.

What We're Looking For
We're looking for someone who has gone deep at the intersection of data + machine learning and has a track record of putting models into production.
Your background might include software engineering, data engineering, data science, machine learning engineering or AI engineering. The path matters less than the depth of what you've built.
Ideally, you bring:
  • Significant experience building production software and AI/ML solutions, with demonstrated depth in data, machine learning and model deployment.
  • Experience working with complex, distributed or legacy data, including inconsistent schemas and incomplete records.
  • Strong experience with feature engineering, model selection, experimentation and evaluation.
  • The ability to work across approaches, from classical statistics and machine learning to modern generative AI, choosing the right solution for the problem.
  • Experience taking models from experimentation through production deployment and monitoring.
  • Experience with deep learning frameworks and cloud-based AI services.
  • Experience with AWS and/or Databricks.
  • Exposure to agentic architectures, MCP or modern AI orchestration frameworks.
  • Strong software engineering fundamentals and a pragmatic approach to solving problems.
  • The ability to translate ambiguous requirements into working systems and communicate technical tradeoffs across engineering, product and domain teams.
  • A bachelor's degree in Software Engineering, Computer Science, Data Science, AI/ML or a related field is preferred.

Why VAS?
VAS is the operating system of the modern dairy, with a leading U.S. market position and growing global reach. Our highly customizable systems have created an incredibly rich and complex data environment.
You'll have an opportunity to help shape what comes next. You'll help turn our rich data into intelligent, customer-facing solutions that create real-world value.
You can build AI anywhere. Here, you can use it to help feed the world.
About Us
For the past 40 years we've woken up each day to support those that never stop feeding the world - and we have no plans to quit. We set the standard for farm management solutions and fix our eyes on raising the bar to meet the next generation of expectations.
Our software and information solutions help collect and connect a farm's data - from herd management to feed performance, tracking and more. These insights are a source of truth, empowering producers and their trusted advisors to make profit-driven and sustainable management decisions.
Whether near or far, large or small, VAS is at the heart of your dairy.
VAS has deep roots in the industry through its origin within the URUS family of companies. As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS. Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.

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