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Remote Machine Learning Engineer Jobs in Phoenix, AZ

Research Scientist, Simulation Agents

Phoenix, AZ ยท On-site +1

$158K - $269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related field. - Strong background in imitation learning and/or reinforcement learning. - Publications in top ...

Research Scientist, Simulation Agents

Phoenix, AZ ยท On-site +1

$158K - $269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related field. - Strong background in imitation learning and/or reinforcement learning. - Publications in top ...

Research Scientist, Learnable Planner

Phoenix, AZ ยท On-site +1

$158K - $269K/yr

... machine learning, computer vision, and self-driving technologies. - Champion engineering excellence, ensuring high-quality, well structured and tested code. - Submit and publish work externally at ...

Research Scientist, Learnable Planner

Phoenix, AZ ยท On-site +1

$158K - $269K/yr

... machine learning, computer vision, and self-driving technologies. - Champion engineering excellence, ensuring high-quality, well structured and tested code. - Submit and publish work externally at ...

Senior Software Engineer

Tempe, AZ ยท Remote

$91K - $163K/yr

If you live near Tempe, AZ, you will enjoy the flexibility of a hybrid-remote role as you take on ... Design, develop, and productionize machine learning and generative AI solutions supporting use ...

Data Scientist

Phoenix, AZ ยท Remote

$65 - $75/hr

Remote (Candidate must reside in Pacific, Mountain, or Central time zone. Eastern time zone and ... Build and scale machine learning and AI models on cloud platforms, primarily AWS or Azure * Develop ...

Data Scientist

Phoenix, AZ ยท Remote

$65 - $75/hr

Remote (Candidate must reside in Pacific, Mountain, or Central time zone. Eastern time zone and ... Build and scale machine learning and AI models on cloud platforms, primarily AWS or Azure * Develop ...

Own engineering execution for core eDiscovery workflows, including processing, indexing, search ... Experience deploying AI, machine learning, or LLM-based capabilities into enterprise workflows.

Data Science Tutor

Tempe, AZ ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Phoenix, AZ ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Mesa, AZ ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Glendale, AZ ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Chandler, AZ ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Gilbert, AZ ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Scottsdale, AZ ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Senior Software Engineer, Auto Labelling

Phoenix, AZ ยท On-site +1

$170K - $220K/yr

... Engineers working on building a cutting-edge offline perception and auto-labelling system ... and machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling ...

Senior Software Engineer, Auto Labelling

Phoenix, AZ ยท On-site +1

$170K - $220K/yr

... Engineers working on building a cutting-edge offline perception and auto-labelling system ... and machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling ...

Python Tutor

Glendale, AZ ยท Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Scottsdale, AZ ยท Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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Showing results 1-20

Remote Machine Learning Engineer information

See Phoenix, AZ salary details

$31.3K

$127.9K

$192.1K

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

As of Jul 23, 2026, the average yearly pay for remote 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 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 Phoenix, AZ? The most popular types of Machine Learning Engineer jobs in Phoenix, AZ are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Phoenix, AZ? For Remote Machine Learning Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What cities near Phoenix, AZ are hiring for Remote Machine Learning Engineer jobs? Cities near Phoenix, AZ with the most Remote Machine Learning Engineer job openings:
Infographic showing various Remote Machine Learning Engineer job openings in Phoenix, AZ as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $127,856 per year, or $61.5 per hour.

Research Scientist, Simulation Agents

Waabi

Phoenix, AZ โ€ข On-site, Remote

$158K - $269K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 12 hours 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

The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary team of research scientists and engineers to invent the next generation of models and algorithms that power Waabi World. Your work will define the scenarios that push our self-driving system to its limits, generate the training signal that makes them better, and form a core pillar of our scientific safety case to put them on the road.
ย 
You will...
-ย  Own and pursue a research agenda to develop realistic and controllable simulation agents.
- Advance the state-of-the-art in imitation learning, reinforcement learning, generative models, foundation models, planning and search, and other related areas for simulation agents.
- Collaborate with our simulation, autonomy, and safety teams to define high-impact research problems, ship solutions into production, and drive progress towards Waabi's milestones.
- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.
- Publish high-impact research at top-tier conferences in machine learning or robotics.
ย 
Qualifications:
- Masters/PhD in machine learning, computer science, engineering, or a related field.
- Strong background in imitation learning and/or reinforcement learning.
- Publications in top-tier conferences or journals related to machine learning or robotics.
- Proficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax.
ย 
Bonus:
- Experience in self-driving, traffic simulation, or a related field.
- Proven ability to take research from prototype to production systems.
-ย Strong software engineering skills, including experience with large-scale training or simulation.

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!ย 

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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