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Ml Intern Jobs (NOW HIRING)

SWBC

AI Intern

San Antonio, TX

$13.50 - $18/hr

The ideal candidate has hands-on experience with Pythonand foundational ML/GenAI concepts, and is ... As an SWBC intern, you will be learning on the job in real-time from talented professionals within ...

Rincon Research Corp

Intern

Tucson, AZ · On-site

$28/hr

As an intern, you will work alongside experienced engineers to help build, maintain, and modernize ... ML systems for the future! What are the primary responsibilities in the Internship position?

Autodesk, Inc.

Intern, Model Based Systems Engineering

Novi, MI · On-site

$15.75 - $20.50/hr

The intern will explore integration of MBSE practices with computational geometry, AI/ML methods, and CAD/CAM workflows to improve early design fidelity. Responsibilities: * Having a dedicated mentor ...

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How much do ml intern jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for ml intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What kinds of projects do ML Interns typically work on, and how can they make the most impact during their internship?

ML Interns often contribute to data preprocessing, model development, and performance evaluation tasks under the guidance of senior data scientists or engineers. Projects may include building prototypes, improving existing algorithms, or supporting data analysis for real-world applications. To make the most impact, interns should proactively seek feedback, document their work clearly, and communicate progress with their team. Engaging in code reviews and collaborating across departments can also help interns gain valuable experience and demonstrate their initiative.

What are ML Interns?

ML Interns, or Machine Learning Interns, are students or recent graduates who assist with machine learning projects within an organization. They typically work under the guidance of experienced data scientists or machine learning engineers to help develop, test, and improve algorithms and models. Their tasks may include data preprocessing, model training, performance evaluation, and documentation. ML Interns gain practical experience and exposure to real-world applications of machine learning, helping bridge the gap between academic learning and industry practice.

What are the key skills and qualifications needed to thrive as an ML Intern, and why are they important?

To thrive as an ML Intern, you need a strong understanding of machine learning fundamentals, programming skills in Python or R, and a background in mathematics or computer science. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is commonly required. Curiosity, problem-solving abilities, and effective communication help you learn quickly and collaborate with experienced team members. These skills enable you to contribute to real-world projects, adapt to evolving technologies, and grow within the field of machine learning.
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Infographic showing various Ml Intern job openings in the United States as of July 2026, with employment types broken down into 18% Internship, 1% As Needed, 50% Full Time, 28% Part Time, 2% Temporary, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.
AI Intern

AI Intern

SWBC

San Antonio, TX

$13.50 - $18/hr

Part-time

Medical, Retirement

Re-posted 23 days ago

SWBC rating

6.5

Company rating: 6.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

Job description

SWBC is seeking talented students to join our College Intern Program in San Antonio, Texas. This is an exciting opportunity for college students who are motivated and eager to learn within their educational field of study.

We're seeking an AI Internto support the design, development, and operationalization of Generative AIand machine learningsolutions. This internship will focus on building AI-powered applications and product features, contributing to MLOps workflows, and helping deploy and monitor models in an AWSenvironment. The ideal candidate has hands-on experience with Pythonand foundational ML/GenAI concepts, and is eager to learn how production AI systems are built and maintained.

Why you'll love this role:

As an SWBC intern, you will be learning on the job in real-time from talented professionals within the financial services industry. We will develop, teach, mentor, and support your efforts throughout the internship. Our interns are given projects that are impactful and meaningful to SWBC, so interns will feel they are a valued team member of our SWBC family.

Essential duties include the following:

  • Build AI-enabled applications and prototypesleveraging generative AI and ML capabilities (e.g., retrieval-augmented generation, summarization, classification).
  • Assist with MLOps pipelines: data/model versioning, training workflows, evaluation, packaging, and deployment processes.
  • Support deployment and operationsof models/services on AWS, including environment setup, basic CI/CD integration, and operational readiness tasks.
  • Develop and maintain Pythoncomponents such as APIs, inference services, evaluation scripts, and tooling.
  • Participate in model testing and evaluation, including prompt experiments, performance benchmarking, and quality monitoring.
  • Help document designs, experiments, and results; contribute to team standards and best practices.
  • Collaborate with engineers and product stakeholders to translate requirements into deliverable AI features.

Serious candidates will possess the minimum qualifications:

  • Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related field (undergraduate or graduate welcome).
  • Expected graduation date of December 2026 or later.
  • Some hands-on experiencewith: Python(e.g., scripting, notebooks, basic software practices), ML/GenAI fundamentals (e.g., embeddings, transformers concepts, evaluation basics)
  • Familiarity with at least one of the following:AWS(e.g., S3, IAM, Lambda, EC2, CloudWatch, ECR, SageMaker, Jupyter notebooks), Basic API development(Flask/FastAPI), Git and collaborative development workflows
  • Strong communication skills and ability to work effectively in a corporate, cross-functionalenvironment.
  • Exposure to MLOps toolsand practices (CI/CD, model registries, experiment tracking, monitoring).
  • Experience with LLM application patterns, such as: Retrieval-Augmented Generation (RAG), Prompt engineering, prompt evaluation, guardrails
  • Familiarity with containerization (Docker) and orchestration concepts.
  • Understanding of software engineering fundamentals (unit tests, code reviews, documentation).
  • Deliver working prototypes or production-ready components that demonstrate measurable improvements (e.g., faster iteration, higher quality responses, improved reliability).
  • Contribute to repeatable, documented workflows for building and deploying AI solutions.
  • Collaborate effectively with the team and communicate progress clearly.

SWBC offers*:

  • Competitive overall compensation package
  • Work/Life balance
  • Employee engagement activities and recognition awards
  • Years of Service awards
  • Career enhancement and growth opportunities
  • Leadership Academy and Mentor Program
  • Continuing education and career certifications
  • Variety of healthcare coverage options
  • Traditional and Roth 401(k) retirement plans
  • Lucrative Wellness Program

*Based upon employee eligibility

Additional Information:

SWBC is a Substance-Free Workplace and requires pre-employment drug testing.

Please note, SWBC does not hire tobacco users as allowed by law.

To learn more about SWBC, visit our website at www.SWBC.com. If interested, please click the appropriate apply button.

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