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Remote Tesla Machine Learning Engineer Jobs in Phoenix, 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 ...

Dutch Bros LLC

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 ...

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 ...

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.

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 ...

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 ...

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

Surprise, 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

Peoria, 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 JobsTesla Machine Learning Engineer JobsRemote Tesla Machine Learning Engineer JobsRemote Tesla Machine Learning Engineer Jobs in Phoenix, AZ

Remote Tesla Machine Learning Engineer information

See Phoenix, AZ salary details

$31.3K

$127.9K

$192.1K

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

As of Jul 14, 2026, the average yearly pay for remote tesla machine learning engineer in Phoenix, AZ is $127,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $153,900.00 per year, depending on experience, location, and employer.

What does a Remote Tesla Machine Learning Engineer do?

A Remote Tesla Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models to improve Tesla's products and services. Working from a remote location, they collaborate with teams to analyze large datasets, build predictive models, and optimize algorithms for applications such as autonomous driving, energy management, and manufacturing. They also ensure that machine learning solutions are scalable and meet Tesla's high standards for performance and safety.

What are some common challenges faced by Remote Tesla Machine Learning Engineers, and how can they be overcome?

Remote Tesla Machine Learning Engineers often face challenges such as collaborating across different time zones, ensuring effective communication with cross-functional teams, and maintaining access to high-performance computing resources. To overcome these, engineers typically use collaborative tools for code sharing and project management, participate in regular virtual meetings, and leverage Tesla's robust cloud infrastructure for experimentation and model training. Proactively seeking feedback and staying aligned with team goals are also key practices for success in this remote, fast-paced environment.

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

To thrive as a Remote Tesla Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning principles, typically demonstrated through a relevant degree or equivalent experience. Proficiency with Python, TensorFlow or PyTorch, cloud platforms, and version control systems is crucial, and certifications in AI/ML can be advantageous. Exceptional problem-solving, communication, and self-motivation are important soft skills for collaborating remotely and tackling complex projects. These skills enable engineers to design, implement, and scale innovative AI solutions that drive Tesla's technology forward.

What is the difference between Remote Tesla Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Tesla Machine Learning EngineerRemote Data Scientist
Required CredentialsDegree in Computer Science, Engineering, or related field; experience with ML frameworksDegree in Statistics, Mathematics, or related field; strong programming skills
Work EnvironmentCollaborates with engineering teams on autonomous systems and vehicle dataAnalyzes large datasets to extract insights for business or product decisions
Employer & Industry UsagePrimarily in automotive, tech, and autonomous vehicle sectorsAcross tech, finance, healthcare, and various industries

While both roles involve data analysis and machine learning, the Remote Tesla Machine Learning Engineer focuses on developing algorithms for autonomous vehicles, whereas the Remote Data Scientist analyzes data to inform business strategies. The roles share similar credentials but differ in application and industry focus.

What are popular job titles related to Remote Tesla Machine Learning Engineer jobs in Phoenix, AZ? For Remote Tesla Machine Learning Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Tesla Machine Learning Engineer jobs in Phoenix, AZ look for? The top searched job categories for Remote Tesla Machine Learning Engineer jobs in Phoenix, AZ are:
Remote Tesla Machine Learning Engineer jobs near you
Principal AI Engineer

Principal AI Engineer

Ascend Learning

Gilbert, AZ • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 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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