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Remote Deep Learning Engineer Jobs in Phoenix, AZ

Inherent Technologies

Data Scientist

Chandler, AZ · Remote

... deep learning models to improve forecasting accuracy. - Collaborate with cross-functional teams including product managers, software engineers, and other scientists. - Communicate findings and ...

Waabi

Senior Software Engineer, Auto Labelling

Phoenix, AZ · On-site +1

$170K - $220K/yr

... Engineers working on building a cutting-edge offline perception and auto-labelling system ... deep learning models, particularly large-scale online inference. - Proficient in Python with a ...

Waabi

Senior Software Engineer, Auto Labelling

Phoenix, AZ · On-site +1

$170K - $220K/yr

... Engineers working on building a cutting-edge offline perception and auto-labelling system ... deep learning models, particularly large-scale online inference. - Proficient in Python with a ...

YO AI Labs

Backend Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Create reinforcement learning environments for software engineering tasks. * Design tasks involving ...

YO AI Labs

AI Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Create reinforcement learning environments for software engineering tasks. * Design tasks involving ...

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Showing results 21-40

All JobsDeep Learning Engineer JobsRemote Deep Learning Engineer JobsRemote Deep Learning Engineer Jobs in Phoenix, AZ

Remote Deep Learning Engineer information

See Phoenix, AZ salary details

$10.9K

$83.3K

$139K

How much do remote deep learning engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote deep learning engineer in Phoenix, AZ is $83,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $138,000.00 per year, depending on experience, location, and employer.

What is a remote deep learning engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.

What are the key skills and qualifications needed to thrive as a remote deep learning engineer?

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

How do remote deep learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What are popular job titles related to Remote Deep Learning Engineer jobs in Phoenix, AZ?

For Remote Deep Learning Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Deep Learning Engineer jobs in Phoenix, AZ look for?

The top searched job categories for Remote Deep Learning Engineer jobs in Phoenix, AZ are:

Remote Deep Learning Engineer jobs near you

Professional Learning Specialist, Central (Phoenix)

Phoenix, AZ • Remote

IXL Learning
Education • 1 - 5K employees
Learn more about IXL Learningexternal

Full-time

Posted 3 days ago

New

Job description

IXL Learning, developer of personalized learning products used by millions of people globally, is seeking a Professional Learning Specialist passionate about integrating technology and research-based instructional best practices to help all students achieve. #LI-EM1

In this role, you will support educators in implementing IXL effectively by facilitating virtual and in-person professional development, delivering national webinars, and hosting IXL Live events. You will work with educators across grade levels, subjects, and districts to strengthen their IXL implementation and improve classroom instruction. #LI-REMOTE

You must be a natural presenter and people person, highly organized, creative, well-spoken, and eager to be part of a collaborative, high-energy team.

This is a full-time remote position for candidates located in the greater Phoenix, Arizona, area. 

WHAT YOU'LL BE DOING
  • Serve as a product expert, providing educators with implementation strategies tailored to their unique classroom needs 
  • Partner with school and district leaders to plan and deliver virtual and in-person professional development that supports a successful IXL implementation
  • Travel to facilitate in-person professional development sessions to schools and districts - up to 60% possible travel during back-to-school season and up to 40% the remainder of the year
  • Set up, host, and present at regional IXL Live events, working closely with our events team to ensure a seamless and engaging experience 
  • Collaborate with the sales team to support schools piloting IXL
  • Partner with customer success and sales team members to effectively manage and grow customer relationships
WHAT WE'RE LOOKING FOR
  • BA/BS degree  
  • Must have 5+ years teaching experience in a K-12 setting; department- or school-level leadership background a plus
  • Educational professional development experience strongly preferred
  • Exceptional communication and presentation skills
  • Excellent interpersonal skills - dynamic, enthusiastic, upbeat individual who connects well with others and has a positive, collaborative attitude
  • Organized, methodical, and detail-oriented
  • Ability to prioritize and effectively manage multiple projects and tasks concurrently, from start to finish
  • Ability to work both independently and as part of a team
  • Experience using Google Apps and Zoom 
  • Must live close to a major airport

Apply