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Machine Learning Software Engineer Intern Jobs in Indiana

Rolls-Royce

Machine Learning Engineer

Indianapolis, IN · On-site

Machine Learning Engineer Working Pattern: Full-time Working location: Indianapolis, IN (Hybrid ... In this role, you will tackle exciting challenges in AI/ML, software development, and Data Science.

New

Rolls-Royce

Machine Learning Engineer

Indianapolis, IN · Hybrid

Machine Learning Engineer Working Pattern: Full-time Working location: Indianapolis, IN (Hybrid ... In this role, you will tackle exciting challenges in AI/ML, software development, and Data Science.

New

Recruitment Room

$40/hr

Senior Software Engineer Job Type: Contractor Location: Remote Openings: 20 Compensation: $40 $85 ... Familiarity with AI or machine learning systems (not required but a plus). * Background in rigorous ...

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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 cities in Indiana are hiring for Machine Learning Software Engineer Intern jobs? Cities in Indiana with the most Machine Learning Software Engineer Intern job openings:
Machine Learning Software Engineer Intern jobs near you
Glassboard Embedded Software Engineering Intern

Glassboard Embedded Software Engineering Intern

Glassboard, LLC

Indianapolis, IN

Other

Re-posted yesterday

Job description

 

Job Title: Embedded Software Engineering Intern
Company: Glassboard Product Development
Location: Indianapolis, IN

About Us
At Glassboard, we help turn ideas into reality by delivering innovative hardware product development solutions. From concept to production, we collaborate with clients across industries to design, engineer, and manufacture cutting-edge products. We are looking for a motivated and talented Embedded Software Engineering Intern to join our dynamic team and contribute to exciting projects in a fast-paced, hands-on environment.

Position Overview
As an Embedded Software Engineering Intern at Glassboard, you will work alongside experienced engineers to design, develop, and test embedded systems for a variety of hardware products. You'll gain valuable, real-world experience in the entire product lifecycle while working on meaningful projects that challenge and expand your technical skills.

Key Responsibilities

  • Collaborate with cross-functional teams to develop embedded software solutions.
  • Write, test, and debug code for microcontrollers, processors, and other embedded devices.
  • Participate in hardware-software integration and troubleshooting.
  • Assist in the development of technical documentation, including system designs, test plans, and user guides.
  • Contribute to prototyping and proof-of-concept projects.
  • Stay up-to-date with the latest trends and tools in embedded systems and software development.

Qualifications

  • Currently pursuing a Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Familiarity with C/C++ programming languages.
  • Basic knowledge of embedded systems, microcontrollers, and communication protocols (e.g., SPI, I2C, UART).
  • Experience with debugging tools and software development environments (e.g., Eclipse, Keil, or Visual Studio).
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork skills.

Preferred Skills

  • Experience with RTOS (e.g., FreeRTOS) or Linux for embedded systems.
  • Exposure to PCB design and hardware testing.
  • Familiarity with scripting languages such as Python for automation.
  • Knowledge of Agile development practices.

What We Offer

  • Hands-on experience working on real-world engineering challenges.
  • Mentorship from seasoned professionals in the product development field.
  • Opportunities to contribute to innovative and impactful projects.
  • A collaborative and supportive company culture that values learning and growth.

Apply