1

Contract Computer Vision Deep Learning Engineer Jobs in Tomball, TX

Intern, Deep Learning Engineer

Houston, TX

$14.25 - $19/hr

... Deep Learning, Computer Vision, Robotics, or related fields. * Technical Stack: Proficient in ... Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

... Deep Learning, Computer Vision, Robotics, or related fields. * Technical Stack: Proficient in ... Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

next page

Showing results 1-20

Contract Computer Vision Deep Learning Engineer information

See Tomball, TX salary details

$45.9K

$115K

$130.2K

How much do contract computer vision deep learning engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for contract computer vision deep learning engineer in Tomball, TX is $115,042.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $124,500.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Tomball, TX?

The most popular types of Computer Vision Deep Learning Engineer jobs in Tomball, TX are:

What cities near Tomball, TX are hiring for Contract Computer Vision Deep Learning Engineer jobs?

Cities near Tomball, TX with the most Contract Computer Vision Deep Learning Engineer job openings:

Intern, Deep Learning Engineer

Houston, TX

$14.25 - $19/hr

Full-time, Internship

Re-posted 23 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.