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Machine Learning Software Engineer Jobs in Madison, WI

As a software developer, you will utilize modern methodologies and technologies to innovate and ... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ...

Senior AI Engineer

Madison, WI · On-site

$105.30K - $144.60K/yr

This position blends applied machine learning, software engineering, cloud architecture, and end-to-end solution delivery. Success in this role requires a strong understanding that production AI ...

... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ... Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.

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

Sr Software Engineer

Madison, WI · On-site

$106K - $145K/yr

We are seeking a Senior Software Engineer to join the team building the control system software for ... Domain-specific experience in statistics, machine learning, or AMO physics * Experience with Numpy ...

We are seeking a Senior Software Engineer to join the team building the control system software for ... Domain-specific experience in statistics, machine learning, or AMO physics * Experience with Numpy ...

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Machine Learning Software Engineer information

See Madison, WI salary details

$64K

$148.6K

$207.1K

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

As of May 30, 2026, the average yearly pay for machine learning software engineer in Madison, WI is $148,649.00, 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 in the Machine Learning Software Engineer position, and why are they important?

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.

What are the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.
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:
Infographic showing various Machine Learning Software Engineer job openings in Madison, WI as of May 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 75% Physical, 10% Hybrid, and 15% Remote job distribution, with an average salary of $148,649 per year, or $71.5 per hour.

Software Engineer, PhD, Early Career, AI/Machine Learning, 2026 Start

Google

Madison, WI • On-site

Full-time

Posted 12 hours ago


Google rating

8.7

Company rating: 8.7 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

36th of 183 rated software companies


Job description

Job Summary:
Google is one of the world’s leading producers and consumers of ML and AI technology. They are seeking a Software Engineer to develop next-generation technologies that change how billions of users connect and interact with information. The role involves collaborating on advanced ML systems, optimizing performance, and elevating engineering excellence.
Responsibilities:
• Collaborate or lead on team projects to carry out design, analysis, and development of advanced ML systems across the stack using your research expertise.
• Support building end-to-end ML Systems that involves working across the full stack, from low-level hardware acceleration and compiler optimizations to high-level model architecture and production APIs, transforming your research expertise into robust, scalable products.
• Optimize complex system performance by analyzing and fixing performance bottlenecks, memory inefficiencies, and errors in production systems to meet stringent customer goals.
• Elevate engineering excellence by writing well-tested code, conducting code reviews and fostering a culture of quality by advocating best engineering practices.
Qualifications:
Required:
• PhD degree in Computer Science, ML/AI, or a related field, or equivalent practical experience.
• Experience coding in one of the following programming languages including but not limited to: Python, C, C++, Java, JavaScript or Golang.
• Experience in Machine Learning or Artificial Intelligence.
Preferred:
• Research experience in designing, developing, or applying ML/AI systems or applications in a large-scale distributed environment.
• Experience in designing, training, or refining complex ML/AI models.
• Experience in deep learning frameworks like TensorFlow/Jax/Pytorch.
• Experience in building a stack for an AI-powered application, including data ingestion and processing pipelines, building APIs, and connecting the model to a user-facing interface.
• Familiarity with model architectures (CNNs, NLP Transformers, Diffusion/Vision Transformers).
• Availability to start full-time role in 2026.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Google employees say

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Hours and flexibility

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