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 ...
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 ...
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 ...
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 ...
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
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 ...
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 ...
* 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 ...
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 ...
Machine Learning Engineer Apprenticeship information
What is a machine learning engineer apprenticeship?
A Machine Learning Engineer Apprenticeship is a structured training program that combines hands-on work experience with classroom or online learning in the field of machine learning. Apprentices work under the guidance of experienced professionals to develop skills in data analysis, building machine learning models, and deploying algorithms in real-world applications. This apprenticeship is ideal for individuals seeking to enter the field of artificial intelligence without prior extensive experience, as it provides practical training and mentorship. Typically, apprenticeships last from several months to a couple of years and may lead to full-time employment upon successful completion.
What types of projects can I expect to work on during a machine learning engineer apprenticeship?
As a Machine Learning Engineer Apprentice, you can expect to participate in hands-on projects that involve data preprocessing, building and evaluating machine learning models, and collaborating with cross-functional teams such as data scientists and software engineers. Common projects may include developing recommendation systems, automating data analysis tasks, or implementing natural language processing solutions. These experiences provide valuable exposure to real-world datasets and industry-standard tools, helping you build foundational skills for a long-term career in machine learning.
What are the key skills and qualifications needed to thrive as a machine learning engineer apprentice, and why are they important?
To thrive as a Machine Learning Engineer Apprentice, a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts is essential, often supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and the ability to collaborate and communicate complex ideas clearly are valuable soft skills. These abilities are crucial for efficiently developing, testing, and deploying machine learning models while contributing effectively to team projects.
What are popular job titles related to Machine Learning Engineer Apprenticeship jobs in Wisconsin?
For Machine Learning Engineer Apprenticeship jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Apprenticeship jobs in Wisconsin look for?
The top searched job categories for Machine Learning Engineer Apprenticeship jobs in Wisconsin are:
- Contract Computer Vision Deep Learning Engineer
- Ai Ml Analyst
- Freelance Google Machine Learning Engineer
- Machine Learning Engineer Quantization
- Polars Data
- Embedded Machine Learning Internship
- Founding Machine Learning Engineer
- Artificial Intelligence Machine Learning Engineer
- Remote Machine Learning Visa Sponsorship
- Machine Learning Engineer Two
What cities in Wisconsin are hiring for Machine Learning Engineer Apprenticeship jobs?
Cities in Wisconsin with the most Machine Learning Engineer Apprenticeship job openings:
Machine Learning Engineer II
Brookfield, WI • On-site
Milwaukee Tool
Full-time
Medical, Dental, Vision, Retirement
Re-posted 25 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.