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Machine Learning Software Engineer Intern Jobs in Wisconsin

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 ...

$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 ...

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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, and why are they important?

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 types of projects and responsibilities can a Machine Learning Software Engineer Intern expect during their internship?

As a Machine Learning Software Engineer Intern, you can expect to work on projects that involve data preprocessing, model development, and evaluation under the guidance of experienced engineers and data scientists. Interns often contribute to building and optimizing machine learning pipelines, implementing algorithms, and supporting the deployment of models into production environments. Collaboration is key; you'll likely work closely with cross-functional teams, including product managers and software developers, to ensure your solutions align with business goals. The internship is a great opportunity to gain hands-on experience with industry-standard tools and frameworks while receiving mentorship and feedback to help advance your technical skills.
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:

Software Engineer, Intern

LRS

Waukesha, WI

$23.50/hr

Other

Posted 2 days ago


Job description

Job Description 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 solutions organization. You'll contribute to algorithm development and highperformance computing (GPU/CPU) on Linux, with a focus on C++ and OpenCL.

This internship is designed for students who want handson experience building reliable, performant software used in healthcare. What You'll Do Contribute to the development and testing of MR reconstruction software using modern highperformance computing hardware (GPGPU, multicore CPU) and software tools. Explore and evaluate emerging HPC technologies to optimize MR performance.

Collaborate with crossfunctional teammates to translate reconstruction algorithms into productready software. Write, review, and maintain code and documentation that follows established standards for quality, security, and reliability. Minimum Qualifications Current junior standing (or equivalent progress) in Computer Science, Software Engineering, Biomedical Engineering, Electrical Engineering, or a related field.

Experience with C++ and exposure to Linux. Familiarity with objectoriented programming and common design patterns. Analytical and problemsolving skills; ability to work both independently and collaboratively.

The base range for this contract position is $23.50 per hour. The pay reflects the minimum and maximum target for new hires of this position across all U.S. locations

Individual pay is determined by work location and additional job-related factors. Codeworks, an LRS company, is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship, status or protected veteran status.

In some cases, Codeworks, an LRS company, uses generative artificial intelligence ("AI") in support of our hiring processes. Codeworks takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications.

All decisions in the hiring process are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. Please contact AI.Questions@lrs.com with any questions.