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Remote Deep Learning Jobs in Arizona (NOW HIRING)

Senior Software Engineer

Phoenix, AZ ยท Remote

$150K - $180K/yr

This is a high-impact, hands-on technical leadership role for someone who loves getting deep in the ... Enterprise Learning & Skills Schedule: FULL_TIME Workplace Type: Remote Req ID: 24497 #location

Senior Data & AI Engineer

Phoenix, AZ ยท On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a ... machine learning models that improve cost, quality, and patient outcomes. Your role ยท Design ...

You will have the flexibility to work fully remote from anywhere across Arizona. Insight at a ... As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and ...

Mentor engineers and foster a culture of ownership, accountability, and continuous learning ... Deep knowledge of design patterns and best practices for scalable architecture * Proven ability to ...

The ideal candidate will have a deep understanding of Blue Yonder's product suite and a proven ... US-Remote with the ability to travel up to 50% What You'll Do: * Serve as a trusted advisor to ...

Introduction Welcome to Gallagher - a global community of people who bring bold ideas, deep ... YWI is hiring remote Medicare Sales Agents throughout the USA. We believe every candidate brings ...

Senior AI/ML Engineer

Phoenix, AZ ยท On-site +1

$103K - $142K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Level up how ML teams work with data Develop automation and tooling that give ML engineers deep ...

We invest in your growth with enterprisewide learning and mobility. We celebrate who you are, and ... The ideal candidate can go deep with architects and engineers, but also communicate clearly with ...

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Remote Deep Learning information

What is a Remote Deep Learning job?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

What are some common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

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

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

What are the key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.
What are popular job titles related to Remote Deep Learning jobs in Arizona? For Remote Deep Learning jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Remote Deep Learning jobs? Cities in Arizona with the most Remote Deep Learning job openings:
Infographic showing various Remote Deep Learning job openings in Arizona as of June 2026, with employment types broken down into 78% Full Time, 21% Part Time, and 1% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution.

Senior Software Engineer

Pearson

Phoenix, AZ โ€ข Remote

$150K - $180K/yr

Other

Posted 4 days ago


Job description

PRODUCT ENGINEERING - REMOTE

Senior Software Engineer / Architect

We're looking for a Senior Software Engineer / Architect to join our engineering organization as a senior individual contributor. This is a high-impact, hands-on technical leadership role for someone who loves getting deep in the code while also shaping the long-term direction of how we build software.

About the role

As one of our most senior engineers, you'll own large sections of our codebase, drive architectural decisions across a ~45-person engineering organization, and set the technical direction for major areas of our stack. You'll be expected to write and review code regularly - this is not a purely advisory role.

You'll work closely with technical leads and senior engineers, multiplying their effectiveness through mentorship, cross-team collaboration, and clear technical vision. You'll look 6-12+ months ahead, identify areas of greatest need, and build the plans to address them.

What you'll do

Own the architecture and long-term technical roadmap for major areas of our technology stack

Lead and drive the design of complex, scalable systems that meet business needs today and tomorrow

Reduce complexity - consistently find ways to get more done with less by simplifying services, processes, and codebases

Mentor technical leads and senior engineers; multiply team effectiveness through cross-functional facilitation and inclusive decision-making

Act as a technical evangelist - collaborate with executives and stakeholders to align technical and business strategies

Drive innovation in cost-effectiveness, scalability, and engineering productivity across the division

Proactively identify and mitigate technical debt; introduce improvements that raise the quality and velocity of the whole team

What we're looking for

5+ years of experience working in software development

Deep expertise in software architecture, system design, and scalability with a strong hands-on background

Proficiency with our core stack: Ruby on Rails, React, AWS, and PostgreSQL

Proven track record of making high-impact technical decisions in complex, production environments

Excellent cross-functional communication - equally effective with engineers and non-technical stakeholders

A track record of mentoring senior engineers and technical leads and elevating the people around you

Strong understanding of security, performance, resilience, and cloud-native design at scale

Continuous learner who stays current with industry trends and emerging technologies

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:

The minimum full-time salary range is between $150,000 - $180,000.

This position is eligible to participate in an annual incentive program, and information on benefits offered is here.

Applications will be accepted through 22nd of June. This window may be extended depending on business needs.

Who we are:

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.

Job: Architecture

Job Family: TECHNOLOGY

Organization: Enterprise Learning & Skills

Schedule: FULL_TIME

Workplace Type: Remote

Req ID: 24497

#location