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Deep Learning Engineer Jobs in Arizona (NOW HIRING)

Waabi

Senior / Staff Perception Engineer

Phoenix, AZ

$158K - $269K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Waabi

Senior / Staff Perception Engineer

Phoenix, AZ

$158K - $269K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ

$92K - $125K/yr

Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.

Infosys Limited Digital

AI Engineer

Phoenix, AZ · On-site

Strong understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP) Proficiency in programming languages like Python and familiarity with deep ...

Infosys Limited Digital

AI Engineer

Phoenix, AZ · On-site

Strong understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP) Proficiency in programming languages like Python and familiarity with deep ...

Infosys Limited Digital

AI Engineer

Phoenix, AZ · On-site

Strong understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP) Proficiency in programming languages like Python and familiarity with deep ...

Synergie Systems

Junior AI Engineer

Phoenix, AZ · On-site

Technical Skills: · Python -- strong proficiency · Machine Learning and Deep Learning · Generative AI / LLMs · Prompt engineering and LLM evaluation · RAG and vector databases · REST APIs ...

BloKchain Talent

Anti-Fraud Risk Engineer

Tempe, AZ · On-site

The basic algorithms and deep learning algorithms of related machine learning have a deep ... excellent engineering practice capabilities * Experience in algorithms such as, anti-fraud ...

BloKchain Talent

Anti-Fraud Risk Engineer

Tempe, AZ · On-site

The basic algorithms and deep learning algorithms of related machine learning have a deep ... excellent engineering practice capabilities * Experience in algorithms such as, anti-fraud ...

CNH Industrial N.V.

AI Development Engineer

Tempe, AZ · On-site

$111K - $163K/yr

Engineering and Technical Job Type for Job Posting: Full Time Working Mode for Job Posting: Hybrid ... Generating software systems derived from various Deep Learning techniques to improve usability.

CNH Industrial N.V.

AI Development Engineer

Tempe, AZ · On-site

$111K - $163K/yr

Engineering and Technical Job Type for Job Posting: Full Time Working Mode for Job Posting: Hybrid ... Generating software systems derived from various Deep Learning techniques to improve usability.

Axon

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.

Accenture

Senior Data Scientist

Scottsdale, AZ · On-site

Design and implement deep-learning solutions using neural networks, transformers, convolutional ... Collaborate with data engineers, software engineers, machine learning engineers, architects ...

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All JobsDeep Learning Engineer JobsDeep Learning Engineer Jobs in Arizona

Deep Learning Engineer information

See Arizona salary details

$35.4K

$108K

$178.5K

How much do deep learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for deep learning engineer in Arizona is $107,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $141,200.00 per year, depending on experience, location, and employer.

What is a deep learning engineer?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What does a deep learning engineer do?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What skills and qualifications does a deep learning engineer need?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

Are deep learning engineers in demand?

Deep learning engineers are in high demand due to the growth of artificial intelligence and machine learning applications across industries such as technology, healthcare, and finance. They typically require skills in neural networks, programming languages like Python, and frameworks such as TensorFlow or PyTorch, with job opportunities increasing as AI adoption expands.

What are popular job titles related to Deep Learning Engineer jobs in Arizona?

For Deep Learning Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Deep Learning Engineer jobs in Arizona look for?

The top searched job categories for Deep Learning Engineer jobs in Arizona are:

What cities in Arizona are hiring for Deep Learning Engineer jobs?

Cities in Arizona with the most Deep Learning Engineer job openings:

Deep Learning Engineer jobs near you
Infographic showing various Deep Learning Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 2% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $107,973 per year, or $51.9 per hour.

Senior / Staff Perception Engineer

Waabi

Phoenix, AZ

$158K - $269K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 9 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

As a Senior Perception Engineer, you will be at the forefront of advancing and deploying perception algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to perceive the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology.
 
You will...
- Prototype, evaluate, and iterate on perception algorithms, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving technology. This includes working on 3D detection and tracking of traffic agents as well as semantic understanding of various traffic scenes.
- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving.
- Support productizing and deploying perception algorithms to our self-driving vehicles, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.
- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.
- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.
- Contribute to the publication of research findings in conferences as well as Waabi's blog.
 
Qualifications:
- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.
- Experience working on applied research projects and shipping machine learning features/models into production.
- Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes.
- Passion for taking research ideas and turning them into practical solutions for real-world applications.
- Solid understanding of computing fundamentals, including code efficiency.
- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.
- Comfortable working with large datasets for machine learning applications.
- Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.
- Open-minded and collaborative team player with the willingness to help others.
- Experience and excitement in supporting a fast-paced high-growth environment.
- Passionate about being part of an organization solving self-driving technologies.
 
Bonus/nice to have:
- Previous experience in multimodal sensor fusion. 
- Previous experience in self-driving technology or related fields.
- Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics.
- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.
- 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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