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Remote Machine Learning Robotics Jobs in Phoenix, AZ

Motorola

Senior DevOps Engineer (US REMOTE)

Phoenix, AZ · Remote

$140K - $170K/yr

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

Waabi

Senior Software Engineer, Auto Labelling

Phoenix, AZ · On-site +1

$170K - $220K/yr

... and machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling ... Qualifications: - Bachelors degree with a Computer Science, Robotics and/or similar technical field ...

Waabi

Senior Software Engineer, Auto Labelling

Phoenix, AZ · On-site +1

$170K - $220K/yr

... and machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling ... Qualifications: - Bachelors degree with a Computer Science, Robotics and/or similar technical field ...

YO AI Labs

SolidWorks Expert - Remote

Phoenix, AZ · Remote

$40 - $130/hr

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

Mondo

Data Scientist

Phoenix, AZ · 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 ...

Masis Staffing Solutions

AI Home Task Associates

Tempe, AZ · Remote

$17 - $17.50/hr

No robotics or AI experience needed--we'll teach you everything. What You'll Be Doing Think of it ... Why Gamers Excel If you've spent hours using VR, motion controls, or learning game mechanics, you ...

Bechtel

Cybersecurity Engineer

Glendale, AZ · On-site +1

The position is fully remote and ideal for candidates who are passionate about cybersecurity and ... Champion an AI-first cybersecurity engineering approach, leveraging automation, machine learning ...

New

U-Haul

Contact Center Data Analyst

Phoenix, AZ · On-site +1

... remote work. As a Data Analyst, team members will be responsible for evaluating and improving U ... Exposure to and familiarity with common statistical and machine learning techniques. * Substantial ...

Arsenault Inc

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

... machine learning or statistical analysis, data engineering and data visualization related work. Communication Skills Excellent written and verbal communication skills. Strong organizational and ...

Breakthru

Manager, Talent & People Analytics

Phoenix, AZ · On-site +1

Time Type: Full time Remote Type: Job Family Group: Human Resources Summary: The Manager, Talent ... Demonstrated experience applying AI, machine learning, and predictive analytics concepts to talent ...

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Showing results 41-60

All JobsMachine Learning Robotics JobsRemote Machine Learning Robotics JobsRemote Machine Learning Robotics Jobs in Phoenix, AZ

Remote Machine Learning Robotics information

See Phoenix, AZ salary details

$32.3K

$63.3K

$98.8K

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

As of Aug 20, 2026, the average yearly pay for remote machine learning robotics in Phoenix, AZ is $63,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,700.00 and $74,500.00 per year, depending on experience, location, and employer.

What is a remote machine learning robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

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

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

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

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

What are popular job titles related to Remote Machine Learning Robotics jobs in Phoenix, AZ?

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

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

The top searched job categories for Remote Machine Learning Robotics jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Remote Machine Learning Robotics jobs?

Cities near Phoenix, AZ with the most Remote Machine Learning Robotics job openings:

Remote Machine Learning Robotics jobs near you

Systems Engineer, Platform Requirements and Verification

Waabi

Phoenix, AZ • Remote

$140K - $190K/yr

Full-time

Re-posted 6 days 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

You will…
- Own the creation, documentation, alignment and verification of vehicle platform requirements at Waabi and define ways for how to describe and evaluate them efficiently and effectively
- Bring an in-depth understanding of sensors, compute and actuators used in self-driving vehicles and drive an architecture with requirements that generate a simple yet very safe highly autonomous vehicle platform
- Act as a central point of contact at Waabi for specific vehicle platform requirements and related tests and communicate updates, progress and potential roadblocks to stakeholders at all levels
- Help drive Waabi’s safety culture through application of safety standards and methodologies in your area of responsibility across all supporting teams at Waabi including Systems Engineering, Hardware and Software
- Define necessary improvements for our highly realistic simulator to effectively verify most vehicle platform aspects under all required conditions and work with other teams at Waabi to get these improvements designed and implemented
- Own the writing and tracking of tests and test executions in line with company project milestones
- Continuously evaluate and enhance Waabi’s vehicle platform capabilities, look for novel approaches, identify and apply lessons learned and ensure a detailed and comprehensive documentation that is easily accessible
- Implement tools and methodologies to streamline and automate the vehicle platform requirement processes where applicable
- Work with external partners on delivering a safe vehicle platform that has been verified and validated to support a strong safety case for the complete self-driving system
 
Qualifications:
- Undergrad required; Masters or PhD within an engineering discipline preferred
- 3+ years of automotive, robotics, aerospace or related industry experience
- Experience with requirements-specifications and metrics
- Experience with executing complex vehicle test campaigns
- Experience with methods and standards such as ISO 26262, SOTIF (ISO 21448) and / or UL 4600
- Strong fundamentals in mathematics, engineering and physics and basic understanding of vehicle dynamics
- Excellent data analysis skills with modern tools such as Python or Matlab
- Open-minded and collaborative leader who is eager to provide guidance and has the willingness to help others
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
- Experience with vehicle actuation (brakes, steering, propulsion)
 
Bonus/nice to have:
- Experience in launching a driverless product
- Experience in leading small teams of systems engineers
- Experience in the automotive self driving industry
- Experience building software systems from scratch
- Experience in robotics or machine learning
- Proficiency with data mining, mathematics, and statistical analysis
 
The US yearly salary range for this role is: $140,000 - $190,000 USD in addition to competitive perks & benefits. Waabi’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! 
 
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.