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Cvpr Iccv Jobs in Spring, TX (NOW HIRING)

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

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.

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

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.

Cvpr Iccv information

See Spring, TX salary details

$50.7K

$99.9K

$133K

How much do cvpr iccv jobs pay per year?

As of Aug 1, 2026, the average yearly pay for cvpr iccv in Spring, TX is $99,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $111,700.00 per year, depending on experience, location, and employer.

What is the difference between Cvpr Iccv vs Computer Vision Research Scientist?

AspectCvpr IccvComputer Vision Research Scientist
Required credentialsMaster's or PhD in Computer Science, Electrical Engineering, or related fieldsMaster's or PhD in Computer Science, Electrical Engineering, or related fields
Work environmentAcademic conferences, research labs, industry R&D teamsResearch labs, tech companies, academia
Industry usagePresentation and publication of research findings, networkingDeveloping computer vision algorithms, publishing research, product development

Both Cvpr Iccv and Computer Vision Research Scientist roles involve advanced research in computer vision, requiring similar educational backgrounds. Cvpr and Iccv are major conferences where research is presented, while a Computer Vision Research Scientist applies this research in practical settings. The main difference lies in Cvpr and Iccv being conference events, whereas the Research Scientist is a job role focused on applying and developing computer vision technologies.

What are the key skills and qualifications needed to thrive as a Computer Vision Researcher (CVPR/ICCV), and why are they important?

To thrive as a Computer Vision Researcher, you need a strong background in computer science, mathematics, and machine learning, typically supported by a graduate degree in a related field. Proficiency with programming languages like Python or C++, and experience with deep learning frameworks such as TensorFlow or PyTorch, are essential, along with a track record of publishing research in conferences like CVPR or ICCV. Creativity, critical thinking, and effective communication are vital soft skills for innovating and collaborating within multidisciplinary research teams. These skills enable researchers to develop cutting-edge solutions, advance the field, and disseminate impactful findings.

What are the typical responsibilities and collaborative opportunities for someone presenting research at CVPR or ICCV?

Presenting at CVPR or ICCV involves not only preparing and delivering your research presentation but also actively engaging with the global research community. You will answer questions about your work, participate in poster sessions, and network with peers and industry leaders, which can lead to potential collaborations. Additionally, you may attend workshops, tutorials, and panel discussions, further expanding your knowledge and professional connections. This role often requires strong communication skills and the ability to clearly convey complex technical concepts.

What are CVPR and ICCV?

CVPR (Conference on Computer Vision and Pattern Recognition) and ICCV (International Conference on Computer Vision) are two of the most prestigious conferences in the field of computer vision and artificial intelligence. Organized by the IEEE and the Computer Vision Foundation, these conferences bring together researchers and professionals to present the latest advancements in image processing, machine learning, and computer vision technologies. Publishing at CVPR or ICCV is highly regarded and often considered a mark of excellence in the academic and research communities.
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Infographic showing various Cvpr Iccv job openings in Spring, TX as of July 2026, with employment types broken down into 6% Internship, 91% Full Time, and 3% Part Time. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $99,894 per year, or $48 per hour.

Intern, Deep Learning Engineer

Bot Auto

Houston, TX • On-site

$14.25 - $19/hr

Other

Posted 29 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.