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Remote Embedded Machine Learning Jobs in Arizona

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 ...

Cisco

Senior Software Engineer (Remote)

Phoenix, AZ · Remote

$121K - $160K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Familiarity with LLMs, AI agents, embeddings, or other machine-learning capabilities and their ...

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 ...

UnitedHealth Group

Senior Software Engineer

Tempe, AZ · 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 ...

Viasat, Inc.

Software Architect

Tempe, AZ · On-site +1

$205K - $307K/yr

Learning Agility * Experience with application of AI tooling to aid the development life cycle * 5G ... building embedded systems software and with a Master's degree in Computer Science or Computer ...

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All JobsEmbedded Machine Learning JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Arizona

Remote Embedded Machine Learning information

What is a remote embedded machine learning engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

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

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What are some common challenges faced by remote embedded machine learning engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.

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

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are the most commonly searched types of Embedded Machine Learning jobs in Arizona?

The most popular types of Embedded Machine Learning jobs in Arizona are:

What are popular job titles related to Remote Embedded Machine Learning jobs in Arizona?

For Remote Embedded Machine Learning jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Remote Embedded Machine Learning jobs in Arizona look for?

The top searched job categories for Remote Embedded Machine Learning jobs in Arizona are:

What cities in Arizona are hiring for Remote Embedded Machine Learning jobs?

Cities in Arizona with the most Remote Embedded Machine Learning job openings:

Remote Embedded Machine Learning jobs near you

SolidWorks Expert - Remote

YO AI Labs

Phoenix, AZ • Remote

$40 - $130/hr

Full-time

Posted 9 days ago

Job description

Job Title: SolidWorks Specialist

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced SolidWorks Specialists to contribute their expertise to an innovative project at the intersection of mechanical engineering and emerging AI technology. In this role, you will help improve next-generation AI systems by creating, reviewing, and refining mechanical CAD models and technical documentation. No prior AI experience is required—your engineering and CAD expertise are what matter most.

Key Responsibilities

  • Create fully parametric 3D CAD models of mechanical parts and assemblies using SolidWorks based on detailed design requirements.

  • Edit and update existing parametric CAD models while maintaining robust feature trees, design intent, and model integrity.

  • Review and audit CAD models for dimensional accuracy, tolerance application, manufacturability, and overall design quality.

  • Apply Design for Manufacturability (DFM) principles across manufacturing processes including injection molding, sheet metal fabrication, CNC machining, casting, and forging.

  • Develop and maintain clear engineering documentation to support design revisions and AI model training.

  • Translate engineering requirements into structured CAD data suitable for AI learning and validation.

  • Collaborate remotely with cross-functional teams, providing clear written reports, technical documentation, and verbal updates.

Required Skills

  • SolidWorks.

  • Parametric CAD modeling.

  • GD&T (ASME Y14.5).

  • Design for Manufacturability (DFM).

  • Mechanical design.

  • Injection molding.

  • Sheet metal design.

  • CNC machining.

  • Casting and forging.

  • Assembly modeling.

  • CAD editing and feature tree management.

  • Design documentation.

  • Reverse engineering (Scan-to-CAD).

  • Manufacturability analysis.

  • Python, iLogic, and VBA scripting.

  • Tolerance application.

  • Project documentation.

  • Strong written and verbal communication.

  • Excellent problem-solving skills and attention to detail.

Preferred Qualifications

  • 4+ years of hands-on parametric CAD experience for editing tasks and 10+ years for creating complex assemblies.

  • Expert proficiency in SolidWorks, with experience in Autodesk Inventor, Fusion 360, or FreeCAD considered an advantage.

  • Practical experience applying GD&T in accordance with ASME Y14.5 or equivalent standards.

  • Proven experience supporting multiple manufacturing processes, including injection molding, sheet metal fabrication, CNC machining, casting, and forging.

  • Current experience in mechanical or industrial CAD modeling.

  • Reverse engineering expertise, including Scan-to-CAD and point cloud conversion workflows.

  • Experience with assembly-level design and CAD workflow automation using Python, iLogic, VBA, or similar scripting tools.

  • Excellent written and verbal communication skills with strong technical documentation abilities.

Why Join Us?

  • Fully remote contractor opportunity.

  • Flexible work schedule.

  • Opportunity to contribute to cutting-edge AI technology using your mechanical engineering expertise.

  • Collaborate with multidisciplinary engineering and AI teams on innovative technical projects.

  • No prior AI experience required—training and project guidance will be provided.