ZipRecruiter

Log In

2

Remote Embedded Machine Learning Jobs (NOW HIRING)

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

S. government security clearance in the future.' This is NOT a fully remote position! Required ... Experience with embedded systems, GPUs, NPUs, FPGAs, or hardware acceleration. * Familiarity ...

ManTech International

Machine Learning Engineer

$128K - $214K/yr

General information Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security ... The Machine Learning Engineer will leverage their strong technical background and knowledge to ...

FloVision Solutions

Machine Learning Engineer

ABOUT FLOVISION FloVision is a remote-first startup focused on improving the food supply chain, starting with protein processing. We design computer vision and machine learning-assisted production ...

FloVision Solutions

Machine Learning Engineer

OR · On-site +1

ABOUT FLOVISION FloVision is a remote-first startup focused on improving the food supply chain, starting with protein processing. We design computer vision and machine learning-assisted production ...

Orchard LLC

Machine Learning Engineer

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard: @Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical ...

Liquid XR

Machine Learning Engineer

Los Angeles, CA · On-site +1

The Role We are seeking a Machine Learning Engineer to develop advanced models for extracting ... Exposure to embedded or edge deployment constraints * Background in applied domains involving ...

1 point system

Machine Learning Engineer

Fort Mill, SC · Remote

$48/hr

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks NLP Python AZURE Pytorch or tensorflow Machine Learning Engineer / AI Engineer Role Role Overview ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

Vienna, VA / Chantilly, VA (Hybrid / Flexible Remote options available) Responsibilities * Prototype to Production: Support the full machine learning lifecycle, taking computer vision models from ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ... Edge ML deployment experience (ONNX, TensorRT, mobile/embedded inference) * Familiarity with ...

next page

Showing results 1-20

All JobsRemote JobsTechnology JobsSoftware JobsSoftware Developer JobsRemote Embedded Machine Learning Jobs

Remote Embedded Machine Learning information

See salary details

$70K

$153.4K

$174K

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

As of Sep 8, 2026, the average yearly pay for remote embedded machine learning in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

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.

More about Remote Embedded Machine Learning jobs

What cities are hiring for Remote Embedded Machine Learning jobs?

Cities with the most Remote Embedded Machine Learning job openings:

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

The most popular types of Embedded Machine Learning jobs are:

What states have the most Remote Embedded Machine Learning jobs?

States with the most job openings for Remote Embedded Machine Learning jobs include:

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

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

What other helpful pages are available for Remote Embedded Machine Learning?

Other pages related to Remote Embedded Machine Learning:

Remote Embedded Machine Learning jobs near you
Infographic showing various Remote Embedded Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.

Sr Java Engineer // UNICORN Startup // Fully Remote

NY • Remote

Motion Recruitment
Recruiting and Staffing Services • 501 - 1,000 employees
Learn more about Motion Recruitmentexternal

$137K - $181K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 7 days ago

Job description


A rapidly growing sleep technology company is seeking a Senior Backend Engineer to join its high-performing engineering organization. This full-time opportunity can be performed remotely and offers the chance to work on a sophisticated technology platform that combines cloud computing, IoT devices, machine learning, and large-scale data processing. The ideal candidate will bring strong backend engineering expertise and experience building distributed systems in cloud-native environments.
This is an opportunity to work on technology that directly impacts the health and performance of users worldwide. Engineers on this team own meaningful projects from design through deployment and collaborate closely with product, mobile, embedded, machine learning, and data teams. The organization values innovation, autonomy, and technical excellence, making it an excellent fit for someone looking to tackle challenging engineering problems while accelerating their career growth.
Required Skills & Experience
  • 8+ years of professional software engineering experience
  • 5+ years focused on backend engineering or site reliability engineering
  • Experience building and supporting distributed systems
  • Cloud platform experience (AWS, Azure, or GCP)
  • Experience with microservices architectures
  • Strong understanding of scalability, reliability, and observability
Desired Skills & Experience
  • Kubernetes experience
  • Infrastructure automation experience
  • Experience supporting IoT or connected device platforms
  • Data pipeline or streaming architecture experience
  • SRE or platform engineering background
  • Machine learning infrastructure exposure
What You Will Be Doing
Tech Breakdown
  • 40% Distributed Systems Development
  • 30% Cloud Infrastructure & Reliability
  • 20% Microservices Architecture
  • 10% Automation & Monitoring

Daily Responsibilities
  • 85% Hands On Engineering
  • 15% Team Collaboration

The Offer
  • Competitive Salary
  • Substantial Equity
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Flexible PTO
  • Equity Participation
  • Remote Flexibility
  • Employee Product Benefits

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-CD1

Apply