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

P99soft INC

Junior Python Developer

Austin, TX · On-site

$49 - $67.50/hr

About the Role We are seeking a highly motivated Python Developer Intern with an interest in ... Preferred Skills • Exposure to deep learning frameworks (PyTorch or TensorFlow). • Familiarity ...

New

P99soft INC

Junior Python Developer

Austin, TX · On-site

$49 - $67.50/hr

About the Role We are seeking a highly motivated Python Developer Intern with an interest in ... Exposure to deep learning frameworks (PyTorch or TensorFlow). * Familiarity with LLMs, embeddings ...

New

Reli Group Inc

Power BI Intern

San Marcos, 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 ...

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 ...

Quantiq

Software Developer Internship (Summer 2027)

Austin, TX · On-site

$19 - $25/hr

As a Software Developer Intern at Quantiq, you will work in our Austin office, both independently ... Perform deep dive analysis and debugging of new and existing code * Conduct comprehensive analysis ...

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Deep Learning Intern information

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How much do deep learning intern jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for deep learning intern in Austin, TX is $16.89, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $19.04 per hour, depending on experience, location, and employer.

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 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 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 are the most commonly searched types of Deep Learning jobs in Austin, TX? The most popular types of Deep Learning jobs in Austin, TX are:
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What cities near Austin, TX are hiring for Deep Learning Intern jobs? Cities near Austin, TX with the most Deep Learning Intern job openings:
Deep Learning Intern jobs near you
Infographic showing various Deep Learning Intern job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $35,124 per year, or $16.9 per hour.

Research Scientist Intern (2025)

Whiterabbit.ai

Austin, TX • On-site

Other

Re-posted 22 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply