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Entry Level Machine Learning Engineer Jobs in Green Bay, WI

Schneider

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 ...

Aerotek

Machine Operator

Appleton, WI

$25.15 - $26.80/hr

... programming, and running fabrication machinery while ensuring parts move accurately to their next ... The environment supports continuous learning, cross-training, and long-term career development in ...

Aerotek

Machine Operator

Appleton, WI

$25.15 - $26.80/hr

... programming, and running fabrication machinery while ensuring parts move accurately to their next ... The environment supports continuous learning, cross-training, and long-term career development in ...

RFA Engineering

Mechanical Design Engineer

Green Bay, WI · On-site

$65K - $95K/yr

We are seeking entry-level to experienced candidates to become an integral part of our engineering ... industrial, and special machines. Our work includes concept development, product design ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Green Bay, WI

Entry Level Machine Learning Engineer information

See Green Bay, WI salary details

$29.2K

$67.5K

$114.8K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for entry level machine learning engineer in Green Bay, WI is $67,465.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $76,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

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?

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 popular job titles related to Entry Level Machine Learning Engineer jobs in Green Bay, WI? For Entry Level Machine Learning Engineer jobs in Green Bay, WI, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Green Bay, WI look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Green Bay, WI are:
What cities near Green Bay, WI are hiring for Entry Level Machine Learning Engineer jobs? Cities near Green Bay, WI with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Green Bay, WI as of July 2026, with employment types broken down into 1% Locum Tenens, 90% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $67,465 per year, or $32.4 per hour.

AI & Machine Learning Engineer

Schneider

Green Bay, WI • On-site

$94K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Schneider National rating

7.7

Company rating: 7.7 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

107th of 359 rated logistics

Job description

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 overview:

Schneider is seeking an AI & Machine Learning Engineer in Green Bay to design and develop applications which enable AI-driven solutions to solve business problems. The AI & Machine Learning Engineer will work closely with senior engineers and data scientists to develop and maintain software solutions for data science initiatives.

Responsibilities:

  • Deploy and monitor machine learning models and algorithms in production both on-premises and in cloud environments.
  • Develop and optimize data processing and feature engineering pipelines.
  • Build APIs and microservices that support machine learning models.
  • Implement model performance monitoring and drift detection.
  • Write high-quality, efficient and well-documented code.
  • Conduct code reviews and mentor junior engineers on best practices for software development.
  • Perform data analysis and generate insightful reports to support business decisions.

Skills and qualifications:

  • Bachelor's degree in computer science, software engineering, data science, engineering, information systems or a related field.
  • A minimum of 2 years of experience in software engineering, data science or a related field in IT.
  • Proficient in programming languages such as Python, Java or C++.
  • Knowledge of data science libraries and frameworks like Pandas, NumPy and Scikit-learn.
  • Understanding of machine learning concepts, algorithms, model evaluation metrics and feature engineering.
  • Experience with SQL, database management and application development in a Linux server environment
  • Proficiency with version control systems (e.g., Git).
  • Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) and big data technologies.
  • Familiarity with container platforms (e.g., Docker, Kubernetes), streaming platforms (e.g., Apache Kafka), ML Ops tools (e.g., MLFlow,) and CI/CD concepts.

Pay and benefits:

  • Medical, dental and vision insurance.
  • Company paid life insurance.
  • 401(k) savings plan with company match.
  • Paid time off and paid holidays.
  • Results-based incentive pay program where you can earn above and beyond your base pay.
  • Tuition reimbursement.
  • See full list of information technology benefits.

Schneider's inclusive culture

Our history has taught us that treating everyone with dignity and respect is vital to our ongoing success. We embrace and seek out diversity that is inclusive of thought, race, ethnicity, national origin, sex, gender, gender expression, age, religion, sexual orientation, ability, medical condition, veteran or military status, experience and background. This diversity and openness ensures all associates have equal access to opportunities and resources to contribute fully to the organization's success, and it fuels innovation, improves strategic thinking and cultivates leadership. Any applicant may request a reasonable accommodation to complete a job application, pre-employment testing, or job interview or to otherwise participate in the hiring process consistent with the Americans with Disabilities Act (ADA) by contacting their Recruiter, Human Resources Business Partner, and/or Human Resources Leave Administration.

Job ID: 262212

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