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Deep Learning Intern Jobs in Texas (NOW HIRING)

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

Train, tune, and optimize deep learning models using our large-scale compute clusters and truck datasets. Qualifications Required: * Education: Current Master's or Ph.D. candidate in CS, Robotics, or ...

Bot Auto

Intern, Deep Learning Engineer

Houston, TX

$14.25 - $19/hr

Train, tune, and optimize deep learning models using our large-scale compute clusters and truck datasets. Qualifications Required: * Education: Current Master's or Ph.D. candidate in CS, Robotics, or ...

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How much do deep learning intern jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for deep learning intern in Texas is $15.87, according to ZipRecruiter salary data. Most workers in this role earn between $13.41 and $17.93 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 are the key skills and qualifications needed to thrive as a Deep Learning Intern, and why are they important?

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 Texas? The most popular types of Deep Learning jobs in Texas are:
What are popular job titles related to Deep Learning Intern jobs in Texas? For Deep Learning Intern jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Deep Learning Intern jobs in Texas look for? The top searched job categories for Deep Learning Intern jobs in Texas are:
What cities in Texas are hiring for Deep Learning Intern jobs? Cities in Texas with the most Deep Learning Intern job openings:
Deep Learning Intern jobs near you
Infographic showing various Deep Learning Intern job openings in Texas as of July 2026, with employment types broken down into 45% Internship, 46% Full Time, and 9% Part Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $33,014 per year, or $15.9 per hour.

Intern, Deep Learning Engineer

Bot Auto

Houston, TX • On-site

$14.25 - $19/hr

Full-time, Internship

Posted 7 days ago

Job description

About Bot Auto
Bot Auto is revolutionizing autonomous trucking by combining start-up agility with the wisdom of seasoned experts. We are looking for MS/PhD interns to join our core AI team for a 3-6 month internship to tackle real-world edge cases.
Key Responsibilities
  • SOTA Prototyping: Implement and benchmark next-gen architectures (e.g., Multi-modal perception, Online Mapping, Behavior Prediction, World Model).
  • Project Ownership: Own a targeted research project from data analysis to model verification under senior mentorship.
  • Scale Experimentation: Train, tune, and optimize deep learning models using our large-scale compute clusters and truck datasets.
Qualifications
Required:
  • Education: Current Master's or Ph.D. candidate in CS, Robotics, or a related field, specifically focusing on Deep Learning, Computer Vision, Robotics, or related fields.
  • Technical Stack: Proficient in Python and PyTorch with clean coding practices.
  • Theoretical Core: Solid understanding of modern AI architectures, especially Transformers and its applications in different fields.
  • Commitment: Available full-time for at least 3 months.

Preferred:
  • Research Focus: Academic thesis or project experience in Multi-sensor Perception, Generative AI/Diffusion, Motion Prediction, or End-to-End Autonomous Driving.
  • Track Record: Publications or submissions at top conferences (e.g., CVPR, ICCV, NeurIPS, ICLR, ICRA).
  • Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

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