... deep learning framework (e.g. PyTorch of Tensor Flow) • Solid mathematical foundation in ... programming language such as C or C++ • Working knowledge of various sensor technologies (e.g.
... deep learning framework (e.g. PyTorch of Tensor Flow) • Solid mathematical foundation in ... programming language such as C or C++ • Working knowledge of various sensor technologies (e.g.
The Applied Machine Learning Engineer II will utilize their machine learning expertise to deliver ... at least one deep learning framework (PyTorch or TensorFlow) and familiarity with cloud ML ...
The Applied Machine Learning Engineer II will utilize their machine learning expertise to deliver ... at least one deep learning framework (PyTorch or TensorFlow) and familiarity with cloud ML ...
Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that ... Proficiency with at least one deep learning framework (e.g. PyTorch of Tensor Flow) * Sold ...
Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that ... Proficiency with at least one deep learning framework (e.g. PyTorch of Tensor Flow) * Sold ...
Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that ... Proficiency with at least one deep learning framework (e.g. PyTorch of Tensor Flow) * Sold ...
Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that ... Proficiency with at least one deep learning framework (e.g. PyTorch of Tensor Flow) * Sold ...
Summer 2027 Intern - Machine Learning Engineering
Milwaukee, WI · On-site +1
$40/hr
... Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing workflows ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.
New
Summer 2027 Intern - Machine Learning Engineering
Milwaukee, WI · On-site +1
$40/hr
... Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing workflows ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.
New
Summer 2027 Intern - Machine Learning Engineering
Racine, WI · On-site
$40/hr
... Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing workflows ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.
New
Summer 2027 Intern - Machine Learning Engineering
Racine, WI · On-site
$40/hr
... Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing workflows ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.
New
Summer 2027 Intern - Machine Learning Engineering
Milwaukee, WI · On-site
$40/hr
... Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing workflows ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.
New
Summer 2027 Intern - Machine Learning Engineering
Milwaukee, WI · On-site
$40/hr
... Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing workflows ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.
New
Summer 2027 Intern - Machine Learning Engineering
Kenosha, WI · On-site
$40/hr
... Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing workflows ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.
New
Summer 2027 Intern - Machine Learning Engineering
Kenosha, WI · On-site
$40/hr
... Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing workflows ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.
New
Summer 2027 Intern - Machine Learning Engineering
Racine, WI · On-site +1
$40/hr
... Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing workflows ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.
New
Summer 2027 Intern - Machine Learning Engineering
Racine, WI · On-site +1
$40/hr
... Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing workflows ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.
New
Machine Learning Tutor
Milwaukee, WI · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Milwaukee, WI · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Summer 2027 Intern - Machine Learning Engineering
Kenosha, WI · On-site +1
$40/hr
... Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing workflows ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.
New
Summer 2027 Intern - Machine Learning Engineering
Kenosha, WI · On-site +1
$40/hr
... Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing workflows ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.
New
As a member of the Advanced Engineering and Technology (AET) Team in the Power Tool Accessories ... Hands-on experience with at least one deep learning framework (PyTorch or TensorFlow) and ...
As a member of the Advanced Engineering and Technology (AET) Team in the Power Tool Accessories ... Hands-on experience with at least one deep learning framework (PyTorch or TensorFlow) and ...
As a member of the Advanced Engineering and Technology (AET) Team in the Power Tool Accessories ... Exposure to at least one deep learning framework (PyTorch or TensorFlow), including training models ...
As a member of the Advanced Engineering and Technology (AET) Team in the Power Tool Accessories ... Exposure to at least one deep learning framework (PyTorch or TensorFlow), including training models ...
As a member of the Advanced Engineering and Technology (AET) Team in the Power Tool Accessories ... Exposure to at least one deep learning framework (PyTorch or TensorFlow), including training models ...
As a member of the Advanced Engineering and Technology (AET) Team in the Power Tool Accessories ... Exposure to at least one deep learning framework (PyTorch or TensorFlow), including training models ...
As a member of the Advanced Engineering and Technology (AET) Team in the Power Tool Accessories ... Hands-on experience with at least one deep learning framework (PyTorch or TensorFlow) and ...
As a member of the Advanced Engineering and Technology (AET) Team in the Power Tool Accessories ... Hands-on experience with at least one deep learning framework (PyTorch or TensorFlow) and ...
... models, deep learning frameworks, and generative AI systems. Responsible for analyzing ... Collaborate with data scientists, data engineers, business functional and product teams to ...
... models, deep learning frameworks, and generative AI systems. Responsible for analyzing ... Collaborate with data scientists, data engineers, business functional and product teams to ...
... models, deep learning frameworks, and generative AI systems. Responsible for analyzing ... Collaborate with data scientists, data engineers, business functional and product teams to ...
... models, deep learning frameworks, and generative AI systems. Responsible for analyzing ... Collaborate with data scientists, data engineers, business functional and product teams to ...
Software Engineer
Waukesha, WI · On-site
... engineers to join them to develop the next generation of CT scanners. You will implement innovative ... deep learning, on latest GPU technologies with an emphasis on performance optimization and ...
Software Engineer
Waukesha, WI · On-site
... engineers to join them to develop the next generation of CT scanners. You will implement innovative ... deep learning, on latest GPU technologies with an emphasis on performance optimization and ...
Software Engineer
Waukesha, WI · On-site
... engineers to join them to develop the next generation of CT scanners. You will implement innovative ... deep learning, on latest GPU technologies with an emphasis on performance optimization and ...
Software Engineer
Waukesha, WI · On-site
... engineers to join them to develop the next generation of CT scanners. You will implement innovative ... deep learning, on latest GPU technologies with an emphasis on performance optimization and ...
AI Engineer
Milwaukee, WI · On-site
$50K - $112K/yr
... deep learning methods for advanced AI applications - Managing data quality and infrastructure to support reliable AI operations - Engaging in continuous learning to adapt to new technologies and ...
AI Engineer
Milwaukee, WI · On-site
$50K - $112K/yr
... deep learning methods for advanced AI applications - Managing data quality and infrastructure to support reliable AI operations - Engaging in continuous learning to adapt to new technologies and ...
Executive Deep Learning Engineer information
See Milwaukee, WI salary details
$41.4K - $51.5K
2% of jobs
$51.5K - $61.6K
5% of jobs
$61.6K - $71.7K
3% of jobs
$76.6K is the 25th percentile. Wages below this are outliers.
$71.7K - $81.9K
30% of jobs
The median wage is $88.9K / yr.
$81.9K - $92K
14% of jobs
$92K - $102.1K
17% of jobs
$104.2K is the 75th percentile. Wages above this are outliers.
$102.1K - $112.2K
20% of jobs
$112.2K - $122.4K
4% of jobs
$122.4K - $132.5K
3% of jobs
$132.5K - $142.6K
2% of jobs
$142.6K - $152.7K
0% of jobs
$41.4K
$93.5K
$152.7K
How much do executive deep learning engineer jobs pay per year?
As of Aug 31, 2026, the average yearly pay for executive deep learning engineer in Milwaukee, WI is $93,523.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $106,400.00 per year, depending on experience, location, and employer.
Job description
Job Summary:
Techtronic Industries - TTI is a company that values its people and culture as key to its success. 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.
Responsibilities:
• create, develop, and validate machine learning models
• work with highly cross-functional teams
• innovate and explore new machine learning solutions
• demonstrate excellent problem-solving skills
• exhibit critical thinking
• thrive under pressure in a dynamic environment
• show strong technical communication skills
• exercise fundamental project management abilities
• take proactive ownership for projects and tasks
• understand how projects connect 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
• 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)
• Solid 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).
Preferred:
• 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
Company:
Milwaukee Tool manufactures electric power tools and accessories. It is a sub-organization of Techtronic Industries. 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 a company that values its people and culture as key to its success. 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.
Responsibilities:
• create, develop, and validate machine learning models
• work with highly cross-functional teams
• innovate and explore new machine learning solutions
• demonstrate excellent problem-solving skills
• exhibit critical thinking
• thrive under pressure in a dynamic environment
• show strong technical communication skills
• exercise fundamental project management abilities
• take proactive ownership for projects and tasks
• understand how projects connect 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
• 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)
• Solid 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).
Preferred:
• 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
Company:
Milwaukee Tool manufactures electric power tools and accessories. It is a sub-organization of Techtronic Industries. Founded in 1924, the company is headquartered in Brookfield, USA, with a team of 5001-10000 employees. The company is currently .