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Fulltime Reinforcement Learning Phd Jobs in Arizona

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... reinforcement learning, optimal control, optimization based approaches, search methods ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... reinforcement learning, optimal control, optimization based approaches, search methods ...

Waabi

Research Scientist, Simulation Agents

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ... reinforcement learning. - Publications in top-tier conferences or journals related to machine ...

Waabi

Research Scientist, Simulation Agents

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ... reinforcement learning. - Publications in top-tier conferences or journals related to machine ...

Intel

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$103K - $142K/yr

Masters or PhD degrees are preferred. * Hands-on experience implementing and scaling the full ... reinforcement learning. * Ability to own and drive a research agenda independently, generating ...

Honeywell

Sr. Advanced AI Software Engineer

Phoenix, AZ

$115K - $152K/yr

Machine learning fundamentals (supervised, unsupervised, reinforcement learning). Deep learning ... Master's degree (PhD is a Plus) in Computer Science, AI, ML, Data Science, or a related field

Honeywell

Sr. Advanced AI Software Engineer

Laveen, AZ

$116K - $154K/yr

Machine learning fundamentals (supervised, unsupervised, reinforcement learning). Deep learning ... Master's degree (PhD is a Plus) in Computer Science, AI, ML, Data Science, or a related field

Honeywell

Sr. Advanced AI Software Engineer

Phoenix, AZ

$121K - $159K/yr

Machine learning fundamentals (supervised, unsupervised, reinforcement learning). Deep learning ... Master's degree (PhD is a Plus) in Computer Science, AI, ML, Data Science, or a related field

Honeywell

Sr. Advanced AI Software Engineer

Tolleson, AZ

$120K - $158K/yr

Machine learning fundamentals (supervised, unsupervised, reinforcement learning). Deep learning ... Master's degree (PhD is a Plus) in Computer Science, AI, ML, Data Science, or a related field

Honeywell

Sr. Advanced AI Software Engineer

Mesa, AZ

$121K - $160K/yr

Machine learning fundamentals (supervised, unsupervised, reinforcement learning). Deep learning ... Master's degree (PhD is a Plus) in Computer Science, AI, ML, Data Science, or a related field

Honeywell

Sr. Advanced AI Software Engineer

Guadalupe, AZ

$120K - $158K/yr

Machine learning fundamentals (supervised, unsupervised, reinforcement learning). Deep learning ... Master's degree (PhD is a Plus) in Computer Science, AI, ML, Data Science, or a related field

Honeywell

Sr. Advanced AI Software Engineer

Youngtown, AZ

$117K - $154K/yr

Machine learning fundamentals (supervised, unsupervised, reinforcement learning). Deep learning ... Master's degree (PhD is a Plus) in Computer Science, AI, ML, Data Science, or a related field

Honeywell

Sr. Advanced AI Software Engineer

Glendale, AZ

$121K - $160K/yr

Machine learning fundamentals (supervised, unsupervised, reinforcement learning). Deep learning ... Master's degree (PhD is a Plus) in Computer Science, AI, ML, Data Science, or a related field

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Fulltime Reinforcement Learning Phd information

What is the difference between Fulltime Reinforcement Learning Phd vs Machine Learning Engineer?

AspectFulltime Reinforcement Learning PhdMachine Learning Engineer
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in CS, AI, or related field
Work EnvironmentResearch-focused, academic or R&D labsIndustry, product development teams
Employer & Industry UsageUniversities, research institutions, tech companiesTech companies, startups, enterprise firms
Common Search & ComparisonYesNo

Fulltime Reinforcement Learning Phds typically focus on research and theoretical development in AI, often working in academic or R&D settings. Machine Learning Engineers apply AI techniques to develop practical applications in industry. While both roles require strong AI knowledge, the Phd emphasizes research, whereas the Engineer emphasizes implementation.

What are popular job titles related to Fulltime Reinforcement Learning Phd jobs in Arizona? For Fulltime Reinforcement Learning Phd jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Fulltime Reinforcement Learning Phd jobs in Arizona look for? The top searched job categories for Fulltime Reinforcement Learning Phd jobs in Arizona are:
What cities in Arizona are hiring for Fulltime Reinforcement Learning Phd jobs? Cities in Arizona with the most Fulltime Reinforcement Learning Phd job openings:
Fulltime Reinforcement Learning Phd jobs near you
Infographic showing various Fulltime Reinforcement Learning Phd job openings in Arizona as of June 2026, with employment types broken down into 4% As Needed, 88% Full Time, and 8% Part Time. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

Research Scientist, Learnable Planner

Waabi

Phoenix, AZ • On-site, Remote

$158K - $269K/yr

Full-time

Re-posted 24 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.