Machine Learning Engineer Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position at this time. At Milwaukee Tool we firmly believe that our People and our ...
Machine Learning Engineer Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position at this time. At Milwaukee Tool we firmly believe that our People and our ...
Machine Learning Engineer Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position at this time. At Milwaukee Tool we firmly believe that our People and our ...
Machine Learning Engineer Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position at this time. At Milwaukee Tool we firmly believe that our People and our ...
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 II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions ...
WI · On-site
Als Machine Learning Engineer bouw jij de modellen die energie echt slimmer maken. Je krijgt toegang tot een schat aan real-time data en de vrijheid om modellen van experiment tot productie te ...
WI · On-site
Als Machine Learning Engineer bouw jij de modellen die energie echt slimmer maken. Je krijgt toegang tot een schat aan real-time data en de vrijheid om modellen van experiment tot productie te ...
WI · On-site
Software Machine Learning Engineer Meet the team Cisco Norway is a global leader in developing video conferencing technology - helping millions of people connect and collaborate worldwide. At our ...
WI · On-site
Software Machine Learning Engineer Meet the team Cisco Norway is a global leader in developing video conferencing technology - helping millions of people connect and collaborate worldwide. At our ...
WI · On-site
You are the engineer who prefers the hum of factory equipment to the silence of a cloud notebook, eager to bridge the gap between experimental models and rugged hardware. In this on-site Texas role ...
WI · On-site
You are the engineer who prefers the hum of factory equipment to the silence of a cloud notebook, eager to bridge the gap between experimental models and rugged hardware. In this on-site Texas role ...
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 ...
Machine Learning Engineer
Madison, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Madison, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Racine, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Racine, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
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 ...
Machine Learning Engineer
Green Bay, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Green Bay, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
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 ...
Machine Learning Engineer
Kenosha, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Kenosha, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Junior Machine Learning Engineer information
See Wisconsin salary details
$33.8K - $40.8K
3% of jobs
$40.8K - $47.8K
20% of jobs
$49.3K is the 25th percentile. Wages below this are outliers.
$47.8K - $54.7K
7% of jobs
$54.7K - $61.7K
6% of jobs
$61.7K - $68.7K
12% of jobs
The median wage is $69.1K / yr.
$68.7K - $75.7K
17% of jobs
$79.4K is the 75th percentile. Wages above this are outliers.
$75.7K - $82.6K
17% of jobs
$82.6K - $89.6K
7% of jobs
$89.6K - $96.6K
4% of jobs
$96.6K - $103.6K
3% of jobs
$103.6K - $110.5K
2% of jobs
$33.8K
$72.5K
$110.5K
How much do junior machine learning engineer jobs pay per year?
As of Sep 9, 2026, the average yearly pay for junior machine learning engineer in Wisconsin is $72,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $80,700.00 per year, depending on experience, location, and employer.
What does a junior machine learning engineer do?
As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.
What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?
As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.
What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?
To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.
What is the difference between Junior Machine Learning Engineer vs Data Scientist?
| Aspect | Junior Machine Learning Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, Data Science, or related; some experience with ML frameworks | Bachelor's or higher in CS, Statistics, or related; often advanced certifications |
| Work Environment | Developing and deploying ML models, coding, testing | Data analysis, statistical modeling, interpreting data insights |
| Employer & Industry Usage | Tech companies, startups, AI-focused firms | Finance, healthcare, tech, consulting |
| Search & Comparison Intent | Yes | Yes |
While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.
How much do junior machine learning engineers make?
Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
More about Junior Machine Learning Engineer jobs
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 Junior Machine Learning Engineer jobs in Wisconsin?
For Junior Machine Learning Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Wisconsin look for?
The top searched job categories for Junior Machine Learning Engineer jobs in Wisconsin are:
- Aws Machine Learning
- Machine Learning Biomedical Engineer
- Artificial Intelligence Machine Learning Engineer
- Internship Aws Machine Learning
- Polars Data
- Machine Learning Engineer Two
- Contract Computer Vision Deep Learning Engineer
- Freelance Google Machine Learning Engineer
- Machine Learning Engineer Quantization
- Rag Llm
What cities in Wisconsin are hiring for Junior Machine Learning Engineer jobs?
Cities in Wisconsin with the most Junior Machine Learning Engineer job openings:
Machine Learning Engineer II
Brookfield, WI • On-site
Milwaukee Tool
Full-time
Medical, Dental, Vision, Retirement
Re-posted 24 days ago
Key responsibilities
Create, develop, and validate machine learning models.
Work with cross-functional teams to integrate machine learning solutions into Milwaukee products.
Innovate and explore new machine learning methods for deployment in power tool solutions.
Job description
Machine Learning Engineer
Job Description:
Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position at this time.
At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success - so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our engineering teams. Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that power solutions changing the lives of our users. Every developmental phase of these critical components happens in-house under the watch of this team. We continue to invest in engineering resources to design and develop leadership in electronic capabilities; something unique within the industry. And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence.
Your role on our team
As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions that change the lives of our users. You will innovate and explore new machine learning solutions to deploy into Milwaukee products around the world while demonstrating excellent problem-solving skills, critical thinking, and the ability to thrive under pressure in a dynamic environment. Success in this role also requires strong technical communication skills and fundamental project management abilities, along with a proactive sense of ownership for projects and tasks and an understanding of how they connect to broader initiatives.
What TOOLS you'll bring with you:
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
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
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
Experience working with modern software development tools and version control tools
Excellent problem-solving skills, critical thinking, and ability to work well under pressure in a dynamic environment.
Excellent technical communication skills and fundamental project management abilities
Demonstrated strong sense of ownership of a project or tasks and understanding of relationships to other tasks/projects
Ability to travel up to 10% of the time (domestic and international).
Other TOOLS we prefer you to have:
Master's degree or PhD in Machine Learning or related field is preferred
At least three years of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field (an advanced degree may count toward some experience)
Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
Proven track record of developing, deploying and implementing AI or ML solutions connected to business objectives
Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
Working knowledge of various sensor technologies (e.g. IMU, thermistors, magnetic and optical) and interfacing to microcontrollers
Working knowledge of embedded systems architecture (HW & SW), microcontroller design and operation
Experience with different types of data collection methods, understanding their principles and demonstrating their value in relevant environments
Experience developing and deploying machine learning algorithms to edge environments
Demonstrated ability to develop robust MLOps pipelines and ensure efficient deployment, monitoring and scaling of ML models
We provide these great perks and benefits:
Robust health, dental and vision insurance plans.
Generous 401 (K) savings plan.
Education assistance.
On-site wellness, fitness center, food, and coffee service.
And many more, check out our benefits site HERE.
Milwaukee Tool is an equal opportunity employer.