Machine Learning Engineer

Maple East Inc.; Milwaukee (WI); On-site; USD 150,000 - 228,000; Full time

Job summary

Maple East Inc. in Milwaukee, WI seeks a Machine Learning Engineer for a full-time role to develop and implement ML models, analyze data, and collaborate with cross-functional teams to integrate ML solutions into products.

You will train and evaluate algorithms, optimize performance, and ensure scalable, reliable ML systems, working with a team of data scientists and software engineers in a modern workspace in Milwaukee.

Qualifications

• Master's degree or Ph.D. in a related field.
• Proficiency in Python and R.
• Experience with TensorFlow and PyTorch.

Responsibilities

• Develop and implement machine learning models.
• Train and evaluate machine learning algorithms.
• Optimize model performance and ensure scalability and reliability of ML systems.
• Collaborate with cross-functional teams to integrate ML solutions.

Skills

Python

R

Data analysis

Data visualization

Education

Master's degree or PhD in a related field

Tools

TensorFlow

PyTorch

Job description

Maple East Inc., a leading technology company in Milwaukee, WI, seeks a Machine Learning Engineer for a full-time role. This position involves developing and implementing machine learning models, analyzing data, and collaborating with cross-functional teams to integrate machine learning solutions into products. The role is based in Milwaukee, WI, and offers a negotiable salary.

As a Machine Learning Engineer, you will train and evaluate machine learning algorithms, optimize model performance, and ensure the scalability and reliability of machine learning systems. Your day-to-day tasks will include conducting data analysis, developing machine learning models, and collaborating with cross-functional teams.

You will work closely with a team of data scientists and software engineers in a modern workspace with state-of-the-art facilities. The office is located in Milwaukee, WI, providing a dynamic and collaborative environment for your work.

Your annual compensation will range from $150,000 to $228,390, with the exact amount determined by your level of experience and qualifications. This salary structure reflects the competitive nature of the role and the value you bring to the organization. While the base salary is substantial, it's important to note that additional benefits are not specified in the provided information. These could include health insurance, retirement plans, paid time off, or other perks that contribute to your overall compensation package. It's advisable to inquire about these benefits during the hiring process to fully understand the total compensation offered.

To excel in this role, you should have a strong background in machine learning and data science, with a master's degree or Ph.D. in a related field. You should be proficient in programming languages such as Python and R, and have experience with machine learning frameworks like TensorFlow and PyTorch. Additionally, you should have a solid understanding of statistical methods and data visualization techniques.

The deadline for valid applications is set for November 23, 2026.

Develop and implement machine learning modelsConduct data analysis and interpretationCollaborate with cross-functional teams to integrate machine learning solutionsTrain and evaluate machine learning algorithmsOptimize model performance and ensure scalability and reliability of machine learning systemsMaster's degree or Ph.D. in machine learning, data science, or a related fieldProficiency in programming languages such as Python and RExperience with machine learning frameworks like TensorFlow and PyTorchStrong background in statistical methods and data visualization techniques