AI/ML Engineer Intern

Xpedient Technologies, LLC; Austin (TX); Hybrid; USD 28,000 - 41,000; Full time

Benefits offered by this job

Mentorship with senior engineers

Real production work

Multi-cloud exposure

Job summary

Xpedient Technologies, LLC in Austin, TX is seeking an AI/ML intern who will build and deploy real ML models, collaborating with a team on production-ready pipelines and modern ML infrastructure.

You'll gain hands-on experience across the ML lifecycle, from data prep to deployment, with mentorship from senior engineers and exposure to multi-cloud environments in a fast-paced, production-focused setting.

Responsibilities

• Build and deploy real ML models (not just Jupyter notebooks).
• Contribute to production ML pipelines and infrastructure.
• Work with data - cleaning, processing, feature engineering.
• Learn MLOps practices - Docker, CI/CD, model deployment.
• Collaborate with senior engineers on research and implementation.
• Ship code to production (with supervision and code review).
• Experiment with new ML techniques and tools.

Tools

Docker

CI/CD

AWS

Azure

GCP

OCI

Job description

About the Role

We're looking for a motivated AI/ML intern who's eager to learn, move fast, and build real production systems. This isn't a coffee-fetching internship - you'll work on meaningful projects that ship to production, collaborate with experienced engineers, and gain hands-on experience across the ML lifecycle. You'll be exposed to greenfield projects, modern ML infrastructure, and real-world problem-solving. We're looking for someone who's curious, scrappy, and comfortable figuring things out independently with guidance from the team.

What You'll Do

• Build and deploy real ML models (not just Jupyter notebooks)


• Contribute to production ML pipelines and infrastructure


• Work with data - cleaning, processing, feature engineering


• Learn MLOps practices - Docker, CI/CD, model deployment


• Collaborate with senior engineers on research and implementation


• Ship code to production (with supervision and code review)


• Experiment with new ML techniques and tools

Internship Details

• Duration: 3-6 months (flexible based on school schedule)


• Type: Full-time during summer, part-time during semester possible


• Location: Hybrid


• Compensation: Competitive hourly rate based on education level and experience


• Mentorship: Assigned mentor + regular 1:1s with senior engineers


• Projects: Real production work, not busy work

Why Intern With Us

• Ship real code: Your work will be used by actual users


• Learn from the best: Work directly with experienced ML engineers


• Modern stack: Get hands-on with cutting-edge AI/ML tools


• Multi-cloud exposure: Learn AWS, Azure, GCP, and OCI


• Fast-paced: Just build and learn


• Potential for full-time: Strong interns often receive return offers

Interview Process

• Phone screen(30 min) - background, interests, and basic technical questions


• Coding challenge(take-home, 2-3 hours) - solve a real ML problem


• Technical interview(45 min) - discuss your project and ML fundamentals


• Behavioral interview(30 min) - culture fit and working style


• Team meet(optional, 20 min) - meet potential teammates