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Remote Machine Vision Engineer Jobs in Arizona (NOW HIRING)

General Motors

Senior AI/ML Engineer

Phoenix, AZ · 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 ... Experience with computer vision , machine learning , or data‑centric AI projects -- especially ...

Paychex

AI Engineer

Tempe, AZ · On-site +1

$101K - $159K/yr

Contributes to the agentic vision and standards for automation, within the team and across IT. 30 ... Human Machine Interfaces - Preferred * Java (Programming Language) - Preferred Compensation In the ...

USAA

AI/ML Engineer II

Phoenix, AZ · On-site +1

$113K - $136K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Develop familiarity of machine learning engineering best practices by participating in trainings ...

Olsson

Geotechnical Engineer - Remote

Phoenix, AZ · On-site +1

As a Remote Geotechnical Engineer, you will perform geotechnical engineering design, project ... vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that ...

Waabi

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Senior engineers are welcome to apply. You will... - Prototype, evaluate, and iterate on solutions ... machine learning, computer vision, and self-driving technologies, and apply insights from the ...

Waabi

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Senior engineers are welcome to apply. You will... - Prototype, evaluate, and iterate on solutions ... machine learning, computer vision, and self-driving technologies, and apply insights from the ...

JDA

Mobility & Automation Account Manager

Scottsdale, AZ · Remote

$105K - $120K/yr

US-Remote with the ability to travel up to 30%. Overview The Mobility and Automation (M & A ... Leading edge technology like robotics, RFID and machine vision * 3rd Party Software * Act as a ...

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Remote Machine Vision Engineer information

How do Remote Machine Vision Engineers typically collaborate with cross-functional teams given the remote nature of the role?

Remote Machine Vision Engineers often work closely with software developers, hardware engineers, and project managers through virtual meetings, collaborative platforms, and shared code repositories. Effective communication is essential to ensure alignment on project goals, technical specifications, and integration challenges. Regular video conferences, clear documentation, and agile project management tools help maintain productivity and foster team cohesion, despite being geographically dispersed.

What does a Remote Machine Vision Engineer do?

A Remote Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to interpret visual information, often working from a remote location. Their tasks include creating algorithms for image processing, integrating hardware like cameras, and collaborating with teams to solve automation or inspection challenges. They may work in industries such as manufacturing, robotics, or healthcare, using technologies like deep learning and neural networks. Remote Machine Vision Engineers typically use tools such as Python, OpenCV, and TensorFlow, and communicate with their teams via digital platforms. This role requires both strong programming skills and a deep understanding of image analysis techniques.

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

To thrive as a Remote Machine Vision Engineer, you need expertise in computer vision, image processing, programming (such as Python or C++), and a relevant engineering or computer science degree. Familiarity with frameworks like OpenCV, deep learning libraries (TensorFlow or PyTorch), and experience with cloud-based collaboration tools are typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in this role. These skills ensure the accurate design and deployment of vision solutions while maintaining productivity and collaboration in a remote work environment.
What are the most commonly searched types of Machine Vision Engineer jobs in Arizona? The most popular types of Machine Vision Engineer jobs in Arizona are:
What are popular job titles related to Remote Machine Vision Engineer jobs in Arizona? For Remote Machine Vision Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Machine Vision Engineer jobs in Arizona look for? The top searched job categories for Remote Machine Vision Engineer jobs in Arizona are:
What cities in Arizona are hiring for Remote Machine Vision Engineer jobs? Cities in Arizona with the most Remote Machine Vision Engineer job openings:
Remote Machine Vision Engineer jobs near you
Infographic showing various Remote Machine Vision Engineer job openings in Arizona as of June 2026, with employment types broken down into 90% Full Time, 6% Part Time, 1% Contract, and 3% Nights. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution.

Senior / Staff Machine Learning Infrastracture Engineer

Waabi

Phoenix, AZ • On-site, Remote

$157K - $234K/yr

Full-time

Posted 7 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..
- Design, develop, and implement the machine learning platform for the continuous deployment and integration of machine learning models.
- Collaborate with data scientists and engineers to understand model requirements and optimize pipeline processes.
- Automate the training, testing and deployment processes for machine learning models.
- Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability.
- Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.
- Ensure compliance with security and data privacy standards in all MLOps activities.
 
Qualifications:
- 3-5 years of experience supporting machine learning training platforms.
- Bachelor’s degree in Computer Science, Data Science or a related field.
- Strong understanding of machine learning principles and model lifecycle management.
- Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow or PyTorch.
- Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.
- Experience managing technology such as JupyterHub and Kubeflow.
- Familiarity with containerization and orchestration tools such as Kubernetes and Docker.
- Strong problem-solving skills and ability to troubleshoot complex issues.
- Experience with monitoring tools and practices for model performance in production.
- Ability to work collaboratively in cross-functional teams.
 
Bonus/nice to have: 
- Experience with infrastructure-as-code (IaC) tools such as Terraform or Crossplane.
- Knowledge of big data technologies like Apache Spark or Hadoop.
- Familiarity with data engineering practices and tools.
- Experience with A/B testing and model validation in production environments.
- Relevant MLOps certifications (e.g., AWS Certified Machine Learning – Specialty, DataRobot MLOps Certification) are a plus.
The US yearly salary range for this role is: $157,000 - $234,000 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! 

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.