As a Machine Learning Engineer I, you will lead the deployment of machine learning models, collaborating with cross-functional teams to enhance product development and implementation. This role ...
As a Machine Learning Engineer I, you will lead the deployment of machine learning models, collaborating with cross-functional teams to enhance product development and implementation. This role ...
As a Machine Learning Engineer, you will deploy machine learning models and collaborate with cross-functional teams to enhance power tool solutions, while ensuring project clarity and ownership.
As a Machine Learning Engineer, you will deploy machine learning models and collaborate with cross-functional teams to enhance power tool solutions, while ensuring project clarity and ownership.
As a Machine Learning Engineer II, you will be responsible for creating and validating machine learning models while collaborating with cross-functional teams to enhance power tool solutions.
As a Machine Learning Engineer II, you will be responsible for creating and validating machine learning models while collaborating with cross-functional teams to enhance power tool solutions.
The Machine Learning Engineer II will create and validate machine learning models, innovate solutions for power tools, and collaborate with cross-functional teams to enhance user experiences.
The Machine Learning Engineer II will create and validate machine learning models, innovate solutions for power tools, and collaborate with cross-functional teams to enhance user experiences.
Your role on our team As a Machine Learning Engineer, you will be a hands-on leader tasked with deploying machine learning models in creative ways while working with highly cross-functional teams to ...
Your role on our team As a Machine Learning Engineer, you will be a hands-on leader tasked with deploying machine learning models in creative ways while working with highly cross-functional teams to ...
Your role on our team As a Machine Learning Engineer, you will be a hands-on leader tasked with deploying machine learning models in creative ways while working with highly cross-functional teams to ...
Your role on our team As a Machine Learning Engineer, you will be a hands-on leader tasked with deploying machine learning models in creative ways while working with highly cross-functional teams to ...
AI & Machine Learning Engineer
Green Bay, WI · On-site
$94K - $129K/yr
AI & Machine Learning Engineer Work model:On-Site Location:Green Bay, WI, USA Shift:First shift Job level:Individual Contributor Schedule:Full time; Mon-Fri 1st Shift Apply now Get job alerts Job ...
AI & Machine Learning Engineer
Green Bay, WI · On-site
$94K - $129K/yr
AI & Machine Learning Engineer Work model:On-Site Location:Green Bay, WI, USA Shift:First shift Job level:Individual Contributor Schedule:Full time; Mon-Fri 1st Shift Apply now Get job alerts Job ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
Entry Level Machine Learning Engineer information
See Wisconsin salary details
$30.3K - $38.4K
2% of jobs
$38.4K - $46.4K
10% of jobs
$51.7K is the 25th percentile. Wages below this are outliers.
$46.4K - $54.5K
20% of jobs
$54.5K - $62.6K
13% of jobs
The median wage is $64.6K / yr.
$62.6K - $70.7K
21% of jobs
$75.9K is the 75th percentile. Wages above this are outliers.
$70.7K - $78.7K
14% of jobs
$78.7K - $86.8K
7% of jobs
$86.8K - $94.9K
5% of jobs
$94.9K - $103K
3% of jobs
$103K - $111K
2% of jobs
$111K - $119.1K
2% of jobs
$30.3K
$70K
$119.1K
How much do entry level machine learning engineer jobs pay per year?
As of Jul 31, 2026, the average yearly pay for entry level machine learning engineer in Wisconsin is $70,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $79,200.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?
To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.
What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?
As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.
What is an Entry Level Machine Learning Engineer job?
An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.
What are the most commonly searched types of Machine Learning Engineer jobs in Wisconsin? The most popular types of Machine Learning Engineer jobs in Wisconsin are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Wisconsin? For Entry Level Machine Learning Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Wisconsin look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Entry Level Machine Learning Engineer jobs? Cities in Wisconsin with the most Entry Level Machine Learning Engineer job openings:
Job description
Job Summary:
Techtronic Industries - TTI is committed to innovation and excellence in engineering, particularly in the realm of power tools. As a Machine Learning Engineer I, you will lead the deployment of machine learning models, collaborating with cross-functional teams to enhance product development and implementation. This role emphasizes problem-solving, technical communication, and project management to drive initiatives that improve user experiences.
Responsibilities:
• Deploy machine learning models in creative ways while working with cross-functional teams.
• Act as a technical expert in the creation and execution of concepts into products.
• Support the team through implementation, validation, and transfer to production.
• Leverage strong technical communication skills and project management abilities to ensure clarity and alignment across teams.
• Demonstrate a strong sense of ownership for projects and tasks, understanding their connection to broader initiatives.
Qualifications:
Required:
• Bachelor of Science Degree in Computer Science, Computer Engineering, Electrical Engineering or other scientific or engineering discipline.
• Completed course work or specialization in Machine Learning and/or Data Science
• Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting (e.g. unsupervised or supervised learning, classification/regression, dimensionality reduction, model optimization)
• Demonstrated experience with machine learning and AI methods such as CNNS, transformers, or computer vision
• Proficient developing and debugging code in Python
• Proficiency in Python, with extensive experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.)
• Proficiency with at least one deep learning framework (e.g. PyTorch of Tensor Flow)
• Sold mathematical foundation in statistics, linear algebra, calculus and optimization
• Ability to travel up to 10% of the time (domestic and international).
Preferred:
• Master’s degree or PhD in Machine Learning or related field
• At least one year of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field are preferred
• Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
• Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
• Experience working with modern software development tools and version control tools
Company:
Milwaukee Tool manufactures electric power tools and accessories. Founded in 1924, the company is headquartered in Brookfield, USA, with a team of 5001-10000 employees. The company is currently .
Techtronic Industries - TTI is committed to innovation and excellence in engineering, particularly in the realm of power tools. As a Machine Learning Engineer I, you will lead the deployment of machine learning models, collaborating with cross-functional teams to enhance product development and implementation. This role emphasizes problem-solving, technical communication, and project management to drive initiatives that improve user experiences.
Responsibilities:
• Deploy machine learning models in creative ways while working with cross-functional teams.
• Act as a technical expert in the creation and execution of concepts into products.
• Support the team through implementation, validation, and transfer to production.
• Leverage strong technical communication skills and project management abilities to ensure clarity and alignment across teams.
• Demonstrate a strong sense of ownership for projects and tasks, understanding their connection to broader initiatives.
Qualifications:
Required:
• Bachelor of Science Degree in Computer Science, Computer Engineering, Electrical Engineering or other scientific or engineering discipline.
• Completed course work or specialization in Machine Learning and/or Data Science
• Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting (e.g. unsupervised or supervised learning, classification/regression, dimensionality reduction, model optimization)
• Demonstrated experience with machine learning and AI methods such as CNNS, transformers, or computer vision
• Proficient developing and debugging code in Python
• Proficiency in Python, with extensive experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.)
• Proficiency with at least one deep learning framework (e.g. PyTorch of Tensor Flow)
• Sold mathematical foundation in statistics, linear algebra, calculus and optimization
• Ability to travel up to 10% of the time (domestic and international).
Preferred:
• Master’s degree or PhD in Machine Learning or related field
• At least one year of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field are preferred
• Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
• Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
• Experience working with modern software development tools and version control tools
Company:
Milwaukee Tool manufactures electric power tools and accessories. Founded in 1924, the company is headquartered in Brookfield, USA, with a team of 5001-10000 employees. The company is currently .