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Senior Machine Learning Software Engineer Jobs in Wisconsin

M Force

Sr. Machine Design Engineer

Mosinee, WI · On-site

$90K - $110K/yr

Senior Machine Design Engineer Location: LaVergne, TN Job Type: Full-Time Schedule: Monday-Friday Pay: $100,000-$110,000 Position Overview M Force Partners is seeking an experienced Senior Machine ...

New

Serve Robotics

$225K - $260K/yr

Who We Are We are tech industry veterans in software, hardware, and design who are pooling our ... Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a ...

JDA

Sr Gen AI Engineer

Waukesha, WI · On-site

$87K - $140K/yr

Senior Software Engineer ( Gen AI) Location : Coppell, TX - Hybrid role - LOCALS ONLY ( Min 2 days ... Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX * Familiarity with ...

Direct Supply

Senior Software Engineer

Milwaukee, WI

$120K - $159K/yr

In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and scalable applications by leveraging AI-powered development tools, machine learning models, and ...

Direct Supply, Inc.

Senior Software Engineer

Milwaukee, WI · On-site

$120K - $159K/yr

In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and scalable applications by leveraging AI-powered development tools, machine learning models, and ...

Directsupply

Senior Software Engineer

Milwaukee, WI · On-site

$120K - $159K/yr

In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and scalable applications by leveraging AI-powered development tools, machine learning models, and ...

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Senior Machine Learning Software Engineer information

What is the difference between Senior Machine Learning Software Engineer vs Data Scientist?

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Software Engineer, and why are they important?

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

What is a Senior Machine Learning Software Engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges Senior Machine Learning Software Engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.
What are the most commonly searched types of Machine Learning Software Engineer jobs in Wisconsin? The most popular types of Machine Learning Software Engineer jobs in Wisconsin are:
What are popular job titles related to Senior Machine Learning Software Engineer jobs in Wisconsin? For Senior Machine Learning Software Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Software Engineer jobs in Wisconsin look for? The top searched job categories for Senior Machine Learning Software Engineer jobs in Wisconsin are:
Senior Machine Learning Software Engineer jobs near you
Infographic showing various Senior Machine Learning Software Engineer job openings in Wisconsin as of June 2026, with employment types broken down into 1% Locum Tenens, 79% Full Time, 12% Part Time, 3% Temporary, 4% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

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

Google

Madison, WI • On-site

Full-time

Posted 19 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

32nd of 191 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.

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Benefits

Hours and flexibility

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