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Computer Vision Research Intern Jobs in Arizona (NOW HIRING)

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... research projects, and papers at top conferences. - Strong quantitative background and coursework ...

Intern

Tucson, AZ · On-site

$28/hr

At Rincon Research Corporation, our primary business is innovating, developing, and fielding ... Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Data Science ...

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources. * Design and implement efficient and scalable MLLM models ...

Science Intern

Tucson, AZ · On-site

$14.25 - $19/hr

The science intern will carry out cutting-edge research on cold brown dwarfs. The intern will ... Studying toward or recent recipient of a university degree in astronomy, physics, computer science ...

Science Intern

Tucson, AZ · On-site

$14.25 - $19/hr

The science intern will carry out cutting-edge research on cold brown dwarfs. The intern will ... Studying toward or recent recipient of a university degree in astronomy, physics, computer science ...

Science Intern

Tucson, AZ

$14.25 - $19/hr

The science intern will carry out cutting-edge research on cold brown dwarfs. The intern will ... Studying toward or recent recipient of a university degree in astronomy, physics, computer science ...

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources. * Design and implement efficient and scalable MLLM models ...

... research insights, leveraging your expertise in deep learning, computer vision, and self-driving. - Support productizing and deploying perception algorithms to our self-driving vehicles ...

... research insights, leveraging your expertise in deep learning, computer vision, and self-driving. - Support productizing and deploying perception algorithms to our self-driving vehicles ...

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Computer Vision Research Intern information

What does a Computer Vision Research Intern do?

A Computer Vision Research Intern assists in developing and testing algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition, supporting senior researchers in implementing and optimizing machine learning models. Interns may also be involved in collecting datasets, analyzing experiment results, and preparing research documentation. This role is ideal for students or recent graduates with a strong interest in artificial intelligence, programming, and visual data analysis.

What types of projects and collaborations can a Computer Vision Research Intern expect during their internship?

As a Computer Vision Research Intern, you will typically work on projects involving image recognition, object detection, or video analysis, often using deep learning frameworks like TensorFlow or PyTorch. Interns usually collaborate closely with senior researchers and software engineers, contributing to model development, data annotation, and experimental analysis. You may participate in regular team meetings, present your findings, and integrate your work into larger research initiatives. This environment provides exposure to cutting-edge technologies and valuable mentorship, laying a strong foundation for future advancement in AI research.

What are the key skills and qualifications needed to thrive as a Computer Vision Research Intern, and why are they important?

To thrive as a Computer Vision Research Intern, you need a solid background in computer science, mathematics, and machine learning fundamentals, often demonstrated by relevant coursework or a degree in a related field. Familiarity with programming languages such as Python or C++, experience with deep learning frameworks (e.g., TensorFlow, PyTorch), and proficiency in using computer vision libraries like OpenCV are typically required. Strong analytical thinking, creativity, and effective communication skills help you solve complex problems and present research findings clearly. These skills and qualities are essential for developing innovative solutions and contributing meaningfully to research projects in a fast-evolving field.
What are popular job titles related to Computer Vision Research Intern jobs in Arizona? For Computer Vision Research Intern jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Computer Vision Research Intern jobs? Cities in Arizona with the most Computer Vision Research Intern job openings:
Infographic showing various Computer Vision Research Intern job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution.

Research Scientist, Learnable Planner

Waabi

Phoenix, AZ • On-site, Remote

$158K - $269K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 18 days ago


Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World.
 
You will...
- Design and execute on a research agenda for deep-learning based motion planning for self-driving.
- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.
- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.
- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.
 
Qualifications:
- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be considered.
- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).
- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.
- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
- Proficient in reading and coding in Python.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
 
Bonus/nice to have:
- Previous experience in self-driving technology. 
- Experience deploying ML/DL models to a production motion planning or related robotics stack.
- Proficiency in Pytorch, Rust, C++ and/or CUDA.
The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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