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Machine Learning Software Engineer Intern Jobs in Orlando, FL

Bentley Group, Inc.

Civil Engineer Intern (EI)

Longwood, FL · On-site

$54K - $63K/yr

Civil Engineer Intern, EI: Bentley Group, Inc. is a full service multi-disciplined firm searching ... Include a Project List with Resume and a Software Experience List Main Duties & Responsibilities ...

Bentley Group, Inc.

Civil Engineer Intern (EI)

Longwood, FL · On-site

$54K - $63K/yr

Civil Engineer Intern, EI: Bentley Group, Inc. is a full service multi-disciplined firm searching ... Include a Project List with Resume and a Software Experience List Main Duties & Responsibilities ...

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All JobsMachine Learning Software Engineer Intern JobsMachine Learning Software Engineer Intern Jobs in Orlando, FL

Machine Learning Software Engineer Intern information

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How much do machine learning software engineer intern jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for machine learning software engineer intern in Orlando, FL is $23.73, according to ZipRecruiter salary data. Most workers in this role earn between $19.28 and $26.92 per hour, depending on experience, location, and employer.

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 Orlando, FL? The most popular types of Machine Learning Software Engineer jobs in Orlando, FL are:
Machine Learning Software Engineer Intern jobs near you

Fall 2026 Backend Software Engineering Intern

FEEDING CHILDREN EVERYWHERE INC.

Longwood, FL • On-site

Internship

Posted yesterday

Job description

Description:

As a Server-Side Software Intern, you will work alongside the Server-Side Software Engineer, focusing on backend development tasks. You will assist with maintaining and building backend systems, managing databases, and integrating server-side technologies. This role is designed for an entry-level individual who is eager to gain practical experience in server-side development and enhance their technical skills in a real-world environment.


Responsibilities

Backend Development

  • Assist in developing and maintaining backend software systems using programming languages such as C# and Python.
  • Help manage and optimize databases, utilizing SQL or MySQL for data storage and retrieval.
  • Support the integration and management of APIs, ensuring smooth communication between server-side components.
  • Contribute to the implementation of AI-based backend systems under the guidance of the Server-Side Software Engineer.
  • Exposure to web services platforms (e.g., AWS), with an emphasis on topics such as Bedrock AI and related cloud-based solutions.

System Maintenance and Technical Support

  • Assist with troubleshooting server-side issues, including resolving errors in code and optimizing server performance.
  • Participate in the management and upkeep of virtual machines and server environments (e.g., Azure, AWS).
  • Help monitor and manage server logs and performance data to ensure system stability.

Learning and Development

  • Actively engage in learning new programming languages and backend technologies, including AI integration and cloud computing.
  • Participate in training sessions, workshops, and collaborative projects to develop a deeper understanding of server-side development.
  • Shadow the Server-Side Software Engineer on advanced troubleshooting and system design tasks.
Requirements:

QUALIFICATIONS

  • Currently pursuing a degree in Computer Science, Software Engineering, or a related field (or relevant coursework in server-side development).
  • Familiarity with backend programming languages such as Python, C#, or SQL.
  • Interest in learning about server-side software engineering, databases, and API development.
  • Good problem-solving skills and the ability to work collaboratively.
  • Basic understanding of cloud infrastructure (e.g., Azure, AWS) is a plus but not required.


SOFT SKILLS

  • Strong attention to detail and a proactive attitude.
  • Good communication skills to effectively collaborate with the development team.
  • Willingness to learn and adapt to new challenges.


PHYSICAL ENVIRONMENT

  • Work is primarily performed in an indoor, temperature-controlled office environment.
  • Frequent computer use, requiring repetitive hand movements.


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