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Internship Deep Learning Research Jobs (NOW HIRING)

Intern, Deep Learning Engineer

Houston, TX

$14.25 - $19/hr

We are looking for MS/PhD interns to join our core AI team for a 3-6 month internship to tackle ... Own a targeted research project from data analysis to model verification under senior mentorship.

New

The primary focus of this internship is to conduct novel research that advances these fields, with ... Strong background in deep learning, large language models, and NLP techniques. Deep domain ...

Conduct innovative research on deep learning for price forecasting * Build scalable and robust training and inference pipelines for deep learning * Dive into internals of open-source deep learning ...

The Billerica Research & Development team is thriving and growing as we help develop products that ... Develop and evaluate novel deep learning models for complex physical and chemical systems in ...

Senior Deep Learning Engineer

Redmond, WA · On-site

$62 - $79.75/hr

We collaborate extensively with diverse teams at NVIDIA, spanning deep learning research and framework development teams, to silicon architecture. Thriving in such a high-impact, interdisciplinary ...

We collaborate extensively with diverse teams at NVIDIA, spanning deep learning research and framework development teams, to silicon architecture. Thriving in such a high-impact, interdisciplinary ...

Senior Deep Learning Engineer

Redmond, WA

$62 - $79.75/hr

We collaborate extensively with diverse teams at NVIDIA, spanning deep learning research and framework development teams, to silicon architecture. Thriving in such a high-impact, interdisciplinary ...

Deep Learning Intern

Santa Clara, CA · On-site

$19 - $65/hr

Develop and benchmark cutting-edge techniques in deep learning. * Collaborate with team members to ... hour Our internship hourly rates are a standard pay determined based on the position and your ...

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Internship Deep Learning Research information

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How much do internship deep learning research jobs pay per month?

As of Jul 9, 2026, the average monthly pay for internship deep learning research in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.
What cities are hiring for Internship Deep Learning Research jobs? Cities with the most Internship Deep Learning Research job openings:
What are the most commonly searched types of Deep Learning Research jobs? The most popular types of Deep Learning Research jobs are:
What states have the most Internship Deep Learning Research jobs? States with the most job openings for Internship Deep Learning Research jobs include:

Intern, Deep Learning Engineer

Bot Auto

Houston, TX

$14.25 - $19/hr

Other

Posted 7 days ago

New


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.