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Deep Learning Intern Jobs in Pflugerville, TX (NOW HIRING)

Xpedient Technologies, LLC

AI/ML Intern

Austin, TX · On-site

$14.75 - $19.75/hr

Deep Learning Frameworks : PyTorch or TensorFlow experience * Kaggle Competitions : Participated in ML competitions * Open Source : Contributions to projects or active GitHub profile * Additional ...

Reli Group Inc

Power BI Intern

Austin, TX

$15/hr

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ...

Reli Group Inc

Power BI Intern

Austin, TX · On-site

$15/hr

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ...

IBM

Hacker Intern 2027

Austin, TX · On-site

With deep expertise in many industries, we offer strategy, experience, technology, and operations ... Our IBMers are growth minded, always staying curious, open to feedback and learning new information ...

IBM

Hacker Intern 2027

Austin, TX

With deep expertise in many industries, we offer strategy, experience, technology, and operations ... Our IBMers are growth minded, always staying curious, open to feedback and learning new information ...

IBM

Hacker Intern 2027

Austin, TX · On-site

With deep expertise in many industries, we offer strategy, experience, technology, and operations ... Our IBMers are growth minded, always staying curious, open to feedback and learning new information ...

PIMCO

2027 MBA Summer Intern - Account Manager, US

Austin, TX · On-site

$14.75 - $19.75/hr

... Summer Intern - Account Manager, US Positions will be located in PIMCO's Newport Beach, CA ... Develop a deep understanding of clients' investment objectives, risk tolerance and organizational ...

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All JobsDeep Learning Intern JobsDeep Learning Intern Jobs in Pflugerville, TX

Deep Learning Intern information

See Pflugerville, TX salary details

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How much do deep learning intern jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for deep learning intern in Pflugerville, TX is $16.02, according to ZipRecruiter salary data. Most workers in this role earn between $13.56 and $18.08 per hour, depending on experience, location, and employer.

What does a deep learning intern do?

A Deep Learning Intern typically assists with designing, developing, and testing deep learning models under the supervision of experienced machine learning engineers or researchers. Their tasks may involve data preprocessing, model training, evaluation, and implementing neural network architectures for tasks like image recognition, natural language processing, or other AI applications. Interns often help with literature reviews, experiment tracking, and preparing reports or presentations of their findings. This role provides hands-on experience in working with state-of-the-art machine learning frameworks such as TensorFlow or PyTorch.

What skills and qualifications are needed to thrive as a deep learning intern?

To thrive as a Deep Learning Intern, you need a solid background in mathematics, programming (especially Python), and foundational knowledge of machine learning concepts, often backed by coursework or relevant projects. Familiarity with frameworks like TensorFlow or PyTorch, as well as experience using version control systems like Git, are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns collaborate and learn quickly in a dynamic research environment. These skills and qualities are essential for contributing meaningfully to cutting-edge AI projects and rapidly adapting to evolving technologies.

What types of projects can a deep learning intern expect to work on, and how is mentorship typically structured?

As a Deep Learning Intern, you can expect to work on projects such as developing and training neural network models, data preprocessing, and conducting experiments to improve model accuracy. Interns are often integrated into small teams where they collaborate closely with experienced machine learning engineers and researchers. Mentorship is usually structured through regular check-ins, code reviews, and collaborative problem-solving sessions, giving interns the opportunity to learn industry best practices and receive feedback on their work. This setup provides a supportive environment for skill development and hands-on experience with real-world deep learning challenges.

What are popular job titles related to Deep Learning Intern jobs in Pflugerville, TX?

For Deep Learning Intern jobs in Pflugerville, TX, the most frequently searched job titles are:

What job categories do people searching Deep Learning Intern jobs in Pflugerville, TX look for?

The top searched job categories for Deep Learning Intern jobs in Pflugerville, TX are:

What cities near Pflugerville, TX are hiring for Deep Learning Intern jobs?

Cities near Pflugerville, TX with the most Deep Learning Intern job openings:

Deep Learning Intern jobs near you
Infographic showing various Deep Learning Intern job openings in Pflugerville, TX as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $33,332 per year, or $16 per hour.

AI/ML Intern

Xpedient Technologies, LLC

Austin, TX • On-site

$14.75 - $19.75/hr

Other

Posted 10 days ago

Job description

Required Skills

Core (Must Have)

  • Python - Strong programming skills, comfortable writing clean code beyond notebooks
  • ML Fundamentals - Solid understanding of machine learning concepts through coursework or personal projects
    • Supervised/unsupervised learning
    • Model evaluation and validation
    • Basic understanding of neural networks
  • Data Manipulation - Experience with Pandas, NumPy, or similar libraries
  • Version Control - Git basics (commit, push, pull, branches)
  • Problem Solving - Can debug issues and search for solutions independently
  • Communication - Can explain technical concepts clearly

At Least One of These ML Areas

  • NLP/LLMs: Experience with transformers, text processing, or language models (even if just through projects)
  • Time Series: Forecasting, sequential data, or time-based analysis
  • Recommender Systems: Collaborative filtering or ranking (through projects/coursework)
  • Computer Vision: Image classification, object detection, or CNN projects
  • Classical ML: Strong foundation in scikit-learn, feature engineering, model selection

Working Style

  • Self-starter - You don't wait to be told what to do; you ask questions and take initiative
  • Fast learner - Comfortable picking up new tools and technologies quickly
  • CLI-comfortable - Not afraid of the terminal (we can teach you more advanced usage)
  • Curious - Genuinely interested in how things work under the hood
  • Collaborative - Can work with a team and ask for help when stuck

Nice to Have

  • Cloud Experience: Any exposure to AWS, Azure, Google Cloud Platform, or OCI
  • Docker/Containers: Basic understanding of containerization
  • SQL: Database querying experience
  • CI/CD: Familiarity with GitHub Actions, Azure DevOps, or Jenkins
  • MLOps Tools: Exposure to MLflow, Weights & Biases, or Airflow
  • Bash/PowerShell: Basic scripting skills
  • Deep Learning Frameworks: PyTorch or TensorFlow experience
  • Kaggle Competitions: Participated in ML competitions
  • Open Source: Contributions to projects or active GitHub profile
  • Additional Languages: Any experience with Go, Rust, or JavaScript

Apply