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Remote Machine Learning Engineer Jobs in Gilbert, AZ

Ascend Learning

Principal AI Engineer

Gilbert, AZ · On-site +1

... remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A ... Advanced understanding and practical experience in machine learning and natural language processing ...

micro1 AI

LLM Alignment Specialist - Engineering

Mesa, AZ · Remote

$80 - $90/hr

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

GitKraken

Applied Data Scientist

Scottsdale, AZ · Remote

Were looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data.

Dutchbros

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

... machine learning, and AI-driven workflows and will be responsible for designing and implementing ... Location Requirement: This position is eligible for remote work within any state Dutch Bros ...

Paychex

Data Solutions Engineer

Tempe, AZ · On-site +1

$91K - $156K/yr

Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering. Explore new technologies and methodologies to continuously improve systems, tools, and data processes.

Hospice of the Valley

Senior Data & AI Engineer

Phoenix, AZ · Remote

$100K - $136K/yr

Position Profile The Senior Data & AI Engineer will need to have deep handsa'on experience in ... Analytics & Machine Learning * Build ML pipelines for risk stratification, cost/utilization ...

Motorola

Senior DevOps Engineer (US REMOTE)

Phoenix, AZ · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

micro1 AI

Domain Expert - (STEM PhD)

Phoenix, AZ · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Domain Expert - (STEM PhD)

Mesa, AZ · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

DataAnnotation

SDLC Engineer - AI Trainer

Tempe, AZ · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Glendale, AZ · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Phoenix, AZ · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Goodyear, AZ · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Chandler, AZ · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Gilbert, AZ · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Gilbert, AZ

Remote Machine Learning Engineer information

See Gilbert, AZ salary details

$31.4K

$128.4K

$192.9K

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

As of Jul 12, 2026, the average yearly pay for remote machine learning engineer in Gilbert, AZ is $128,390.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $154,500.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are the most commonly searched types of Machine Learning Engineer jobs in Gilbert, AZ? The most popular types of Machine Learning Engineer jobs in Gilbert, AZ are:
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What job categories do people searching Remote Machine Learning Engineer jobs in Gilbert, AZ look for? The top searched job categories for Remote Machine Learning Engineer jobs in Gilbert, AZ are:
What cities near Gilbert, AZ are hiring for Remote Machine Learning Engineer jobs? Cities near Gilbert, AZ with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Gilbert, AZ as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $128,390 per year, or $61.7 per hour.
Principal AI Engineer

Principal AI Engineer

Ascend Learning

Gilbert, AZ • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description

We Impact Lives Through Purpose-Driven Work in A People First Culture
Ascend Learning, a leading healthcare and learning technology company, is the connection between a powerful portfolio of brands serving students, educators, and employers with outcomes-based, data-driven solutions across the lifecycle of learning. From testing to certification, Ascend Learning products are used by physicians, emergency medical professionals, nurses, allied health professionals, certified personal trainers, financial advisors, skilled trades professionals and insurance brokers.
Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America's 2025 Greatest Workplaces as well as America's Best Places to work for Mental Well-Being for 2025.
We're always looking for talented, passionate professionals to join us in our mission to help change lives. If this sounds like an environment where you'd thrive, read on to learn more.
For over 37 years, National Academy of Sports Medicine® (NASM®) has set the standard in fitness and wellness credentials and certification with best-in-class, evidence-based programming. An Ascend Learning brand, NASM has delivered over 1.4 million fitness professionals in over 100 countries. From personal training to nutrition coaching, wellness to sports performance, NASM trainers and specialists work at every level to help clients set and reach their unique goals. Join us in igniting potential and making a lasting impact in the fitness and wellness industry.
WHAT YOU'LL DO
As a Principal AI Engineer, you will be pivotal in driving the evolution of our AI-powered products and solutions, shaping the future of education through innovative technology. This position will lead the design, development and deployment of scalable solutions using Generative AI and Machine Learning foundational models. As a hands-on technical lead, you will guide the team in solving complex AI problems, architecting solutions for AI projects, and contributing to the successful implementation of AI strategy at Ascend. The Principal AI Engineer position will report to the Principal Architect and will work with the Innovation, Architecture, NASM and Ascend ITS teams, and coordinate with other teams that have a stake in the development process.
WHERE YOU'LL WORK
This position will work a hybrid schedule from our Gilbert, AZ office location. Remote will be considered
HOW YOU'LL SPEND YOUR TIME
  • Lead the Design, develop, and deploy innovative, scalable AI/ML solutions focusing on the full lifecycle of projects from conception to deployment, including building and optimizing AI models
  • Lead the team in building scalable, high-performance LLMOps pipelines.
  • Design and co-own the Generative AI/ML system and project architecture, frameworks, tools, and processes
  • Remain versed on the latest advancements in the field, leading research initiatives, experimenting with new algorithms, and identifying opportunities for innovation. This can involve exploring LLMs (Large Language Models), embedding pipelines, and generative AI search/retrieval frameworks.
  • Provide technical leadership, guidance, and hands-on coding throughout the implementation phase, ensuring seamless integration of AI features, aligning with stakeholders to define AI and Product Roadmaps which enable corporate objectives
  • Manage and preprocess large datasets, design efficient data processing pipelines, and ensure data integrity and security in adherence to privacy regulations.
  • Experience designing and implementing AI/ML models with feedback loops and automated re-training and fine-tuning pipelines
  • Collaborate with cross-functional teams, including product teams, data scientists, and data engineers, software engineers to integrate AI capabilities into existing and new products
  • Provide technical mentorship and guidance to team members, fostering a culture of growth and innovation
  • Guide junior engineers in best practices for AI/ML, review their work, and offer feedback to foster their growth. Oversee and guide design review sessions across different projects, ensuring consistency and adherence to best practices.
  • Ensure that AI solutions are developed and deployed ethically, considering fairness, accountability, and transparency
  • Take ownership of defining project milestones, timelines, and ensuring successful delivery within specified deadlines
  • Contribute to the development and maintenance of coding standards, best practices, and documentation
  • Stay up to date with the latest AI Developments and trends

WHAT YOU'LL NEED
  • Bachelor' degree preferred in Computer Science/Artificial Intelligence or closely related field. Equivalent professional experience will also be considered. High School diploma or GED required
  • 6+ years of progressive work experience in data and analytics, big data related positions with at least 3 years in developing and implementing Analytical applications
  • Experience building and deploying LLM models, prompt engineering, context management, and embedding techniques using MS Azure and competitive cloud services
  • Advanced understanding and practical experience in machine learning and natural language processing, especially large language models (LLMs) and their integration, optimization, and evaluation
  • Experience using analytics/ML tools such as Python, NLTK, HuggingFace, SQL, and Snowflake
  • Experience with CI/CD pipelines, containerization technologies like Docker and Kubernetes, and MLflow or similar tools for lifecycle management of machine learning models.
  • Proven ability to translate innovative ideas into practical, scalable solutions
  • Intrinsic motivation with a strong desire to make a positive impact on the organization
  • Excellent problem-solving, and critical-thinking skills, and an aptitude for innovation
  • Demonstrate leadership experience and lead a team of junior AI engineers
  • Excellent verbal, written, and presentation communication skills
  • Aspirations for professional development and growth opportunities
  • Impact-oriented and user-focused, team-first mindset

BENEFITS
  • Flexible and generous paid time off
  • Competitive medical, dental, vision and life insurance
  • 401(k) employer matching program
  • Parental leave
  • Wellness resources
  • Charitable matching program
  • On-site workout facilities (Leawood, Gilbert, Burlington)
  • Community outreach groups
  • Tuition reimbursement

Fostering A Sense of Belonging
Our values-driven culture unifies our teams and inspires a mindset of action, innovation, and collaboration, with a relentless focus on customers. We seek out and celebrate all people and perspectives and cultivate an inclusive culture where everyone can thrive, feel valued, and be authentic. Our culture is firmly rooted in the belief that by embracing our differences and drawing on diverse perspectives, we are a stronger, more innovative, and more successful organization where employees experience a sense of belonging.
Ascend Learning, LLC is proud to be an equal opportunity employer (M/F/Vets/Disabled). No agency or search firm submissions will be accepted. Applications for U.S.-based positions with Ascend Learning, LLC must be legally authorized to work in the United States, and verification of employment eligibility will be required at the time of hire.

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