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Machine Learning Software Engineer Intern Jobs in Wisconsin

WI · On-site

$105.50 - $132.20/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with cross‑functional teams including data scientists, software engineers, and business stakeholders to identify opportunities for leveraging machine learning techniques to drive ...

Codeworks, an LRS company, is seeking a Software Enginner for a contract/intern opportunity. Join a team developing software that supports MR imaging technology for an industryleading healthcare ...

AI & Machine Learning Engineer

Green Bay, WI · On-site

$90 - $120/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Machine Learning Engineer II

Brookfield, WI

  • Medical

  • Dental

  • Vision

  • Retirement

Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate ... Experience working with modern software development tools and version control tools * Excellent ...

WI · On-site

$110 - $180/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Your role on our team As a Machine Learning Engineer, you will be a hands-on leader tasked with ... Experience working with modern software development tools and version control tools We provide ...

Machine Learning Engineer II

Brookfield, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate ... Experience working with modern software development tools and version control tools * Excellent ...

Machine Learning Engineer II

Brookfield, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate ... Experience working with modern software development tools and version control tools * Excellent ...

$107K - $139K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Your skills span test strategy, automation, and a little MLOps, with a strong software engineering ...

$118K - $153K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Your skills span test strategy, automation, and a little MLOps, with a strong software engineering ...

You'll work at the intersection of data, machine learning, software engineering and product to turn complex, real-world data into production AI solutions. This isn't about AI for AI's sake. Sometimes ...

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Machine Learning Software Engineer Intern information

What does a machine learning software engineer intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

What are the key skills and qualifications needed to thrive as a machine learning software engineer intern?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Wisconsin?

The most popular types of Machine Learning Software Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Machine Learning Software Engineer Intern jobs?

Cities in Wisconsin with the most Machine Learning Software Engineer Intern job openings:

Machine Learning Engineer II (5289)

YUM

WI • On-site

$105.50 - $132.20/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Company Overview

Yum Brands is a global leader in the fast‑food industry, with a portfolio of renowned brands including KFC, Pizza Hut, Taco Bell, and more. We are dedicated to providing delicious, convenient, and innovative food experiences to our customers worldwide.

Position Overview

We are seeking a talented and passionate Machine Learning Engineer to join our dynamic team at Yum Brands. As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting‑edge machine learning models and solutions to enhance various aspects of our business operations, from customer experience optimization to supply chain management.

Key Responsibilities
  • Collaborate with cross‑functional teams including data scientists, software engineers, and business stakeholders to identify opportunities for leveraging machine learning techniques to drive business outcomes.
  • Design, develop, and deploy scalable machine learning models and algorithms that address business challenges and improve operational efficiency.
  • Optimize machine learning models for performance, scalability, and efficiency.
  • Build robust data pipelines and infrastructure to support the training and deployment of machine learning models in production environments.
  • Work with DevOps teams to automate deployment processes, monitor system performance, and ensure the smooth operation of applications and services in production.
  • Stay updated on emerging technologies and industry trends in machine learning, software engineering, and cloud computing, and evaluate their potential impact on our business operations.
Qualifications
  • Bachelor’s or master’s degree in computer science, engineering, mathematics, or a related field.
  • Proven experience (4+ years) in developing and deploying in production environments, preferably in the context of real‑world business applications.
  • Proficiency in Python with strong software engineering skills and experience in building scalable and maintainable code.
  • Proficiency in message queue technologies and services such as Kafka, Pulsar, or RabbitMQ and experience working with real‑time data streaming.
  • Experience working with containerization technologies such as Docker and Kubernetes.
  • Strong analytical and problem‑solving skills, with the ability to translate business requirements into technical solutions.
  • Excellent communication and collaboration skills, with the ability to work effectively in a fast‑paced and dynamic environment.
Nice to Have
  • Familiarity with latest tools and trends surrounding Large Language Models and Generative AI.
  • Experience with cloud computing platforms such as AWS, Azure, or GCP.
Benefits

Employees (and their eligible family members) may enroll in medical, dental, vision, legal, and accidental death and dismemberment insurance coverage, as well as FSA/HSA, depending on the enrolled medical plan. Yum! also provides short‑term disability, long‑term disability, and life insurance. Employees may enroll in our 401(k) plan. Yum! provides 4 weeks of vacation, paid sick leave, 10 paid holidays, a floating day off, half‑day Fridays year‑round, and 2 paid days for volunteer time each calendar year.

Salary Range: 105,500 - 132,200

Equal Employment Opportunity

Yum! Brands is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic. Yum! is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.

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