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Machine Learning Jobs in Mequon, WI (NOW HIRING)

Responsibilities - Leading the design and development of AI and Machine Learning solutions to transform raw data into actionable insights - Overseeing the implementation of data infrastructure and ...

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

Lead ML Ops Engineer

Milwaukee, WI · On-site

$101K - $133K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the end-to-end machine-learning strategy and execution, sets vision for MLOps, and ensures alignment with business goals.

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

Machine Operator

Port Washington, WI

$16 - $19/hr

Machine Operator Port Washington, WI Kleen Test Products (KTP), a leading contract manufacturer of ... With a wide variety of product lines, your learning never stops. * Stability You Can Count On: We ...

Machine Operator

Port Washington, WI · On-site

$16 - $19/hr

Machine Operator Port Washington, WI Kleen Test Products (KTP), a leading contract manufacturer of ... With a wide variety of product lines, your learning never stops. * Stability You Can Count On: We ...

Machine Operator

Milwaukee, WI · On-site

$16.25 - $19.25/hr

The Machine Operators will set-up, maintain and operate the rotational plastic mold press. Main ... Learning ability: Has the ability and desire to learn new information. * Above average critical ...

Machine Operator

Milwaukee, WI

$16.25 - $19.25/hr

The Machine Operators will set-up, maintain and operate the rotational plastic mold press. Main ... Learning ability: Has the ability and desire to learn new information. * Above average critical ...

Showing results 41-60

Machine Learning information

See Mequon, WI salary details

$22.6K

$37.8K

$78.1K

How much do machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning in Mequon, WI is $37,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,900.00 and $40,800.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are popular job titles related to Machine Learning jobs in Mequon, WI? For Machine Learning jobs in Mequon, WI, the most frequently searched job titles are:
What cities near Mequon, WI are hiring for Machine Learning jobs? Cities near Mequon, WI with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Mequon, WI as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 25% In-person, 25% Hybrid, and 50% Remote job distribution, with an average salary of $37,808 per year, or $18.2 per hour.

Manager, Data Science (Personalization & Recommendation Systems) (Remote)

KOHLS

Menomonee Falls, WI • On-site

Other

Posted 2 days ago

New


Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,462 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores


Job description

About the Role

As Manager, Data Science, you will manage a data science team and work with cross-functional partners to solve business challenges and promote data-driven decision-making with advanced data analysis and machine learning.


What You’ll Do

  • Attract, retain, develop, manage, coach and assess data scientists in a balanced team

  • Work with product, engineering and design leads and leverage data-driven insights to make decisions, set goals, prioritize work and achieve team objectives

  • Lead end-to-end data science projects from problem formulation to model deployment, ensuring high-quality deliverables that meet business needs

  • Oversee the design of experiments that answer targeted questions

  • Identify and drive continuous improvement of key business metrics within assigned team

  • Translate data science outputs into business outcomes and value delivered

  • Maintain strong business partner relationships to gain cross-organizational alignment, spur adoption and usage of data science capabilities and drive business outcomes

  • Remain current on the latest trends and developments in data science and technology and identify areas that offer the greatest return on investment

  • Additional tasks may be assigned

Addendum

Personalization & Recommendation Systems

Accountabilities

  • Design and support deployment of machine learning models to power personalized experiences across digital channels (e.g., homepage, PDP, cart, campaigns)

  • Build and optimize recommendation and ranking systems balancing relevance, discovery, and business objectives (e.g., conversion, revenue)

  • Develop multi-stage ranking approaches, including candidate generation and re-ranking

  • Address cold-start and long-tail challenges in large product catalogs

  • Partner with engineering to support real-time personalization and scalable deployment

Skills & Experience

  • Experience with personalization & recommendation systems, search, or ranking problems at scale of millions of customers and products

  • Experience in developing sequential, transformer models and utilizing LLM models in production

  • Understanding of collaborative filtering and learning-to-rank methods

  • Experience optimizing models for GPU / distributed training

  • Familiarity with large-scale datasets and production ML systems

  • Exposure to real-time or low-latency serving environments

  • Experience with vector search / ANN methods (e.g., FAISS, ScaNN) preferred

  • Experience with delivering end to end customized ML models in production environment

Required

  • Expertise in developing and deploying state-of-the-art algorithms using machine learning and statistical and optimization methods to power various aspects of highly complex business models and deliver value

  • Expert in using modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP, etc.

  • Strong problem-solving skills with an emphasis on product development

  • Experience proposing rapid experiments to test the efficacy of new strategies or initiatives and iterating quickly based on results

  • Proven success guiding teams through unstructured technical problems

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or equivalent quantitative field

  • 5+ years (or 2+ years with a Master’s degree) of progressively complex data science experience

  • 2+ years of managerial or leadership experience in data science or analytics organizations

Preferred

  • Master's degree and/or Ph.D.

  • Retail experience

  • Marketing models


What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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