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Remote Embedded Machine Learning Jobs (NOW HIRING)

Gather AI

Principal Machine Learning Scientist

... embedded and on-prem inference optimization for new deployment targets Qualifications : Required : • 10+ years of experience in machine learning or computer vision • Deep expertise in CNNs ...

TEKsystems

Machine Learning Engineer

Chicago, IL · On-site +1

$95 - $105/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... to remote, hybrid, or onsite candidates. Hiring Process - Target start dates are still being ... Applying the latest techniques and approaches across the domains of data science, machine learning ...

Canals

Machine Learning Engineer

New York, NY · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Canals

Machine Learning Engineer

Denver, CO · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Canals

Machine Learning Engineer

San Francisco, CA · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

SmarterDx

Staff Software Engineer, Machine Learning

$250K/yr

This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven features across multiple products * Design reusable architecture that powers and accelerates machine ...

Paylocity

Senior Machine Learning Engineer

$125K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This is a fully remote position, allowing you to work from home or location of record within the U ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

Paylocity

Staff Machine Learning Engineer

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This is a fully remote position, allowing you to work from home or location of record within the U ... Our machine learning engineering team is responsible for developing infrastructure and tooling to ...

TikTok

$42.75/hr

  • Medical

  • Life

The team is made up of machine learning researchers and engineers, who support and innovate on ... Interns who are not working 100% remote may also be eligible for housing allowance.​ The Company ...

Jobgether

$94K - $124K/yr

Fully remote work environment with flexibility across eligible locations. * Opportunity to work on ... Exposure to cutting-edge machine learning, geospatial technologies, and real-world applications.

Anno.ai

Senior Machine Learning Engineer

OR · On-site +1

$104K - $143K/yr

Position Overview As a Senior Machine Learning Engineer at Anno.ai, you will design, develop, test ... Experience optimizing models for memory and CPU constrained systems (e.g., embedded systems ...

Multi Media LLC

Senior Machine Learning Engineer

$200K - $240K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Role We are looking for a Senior Machine Learning Engineer to join our Artificial Intelligence ... Fully Remote Optional * Health, Vision, Dental, and Life Insurance for you and any dependents, with ...

SmarterDx

Staff Software Engineer, Machine Learning

$250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven features across multiple products * Design reusable architecture that powers and accelerates machine ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning ...

Quora

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... LI-SS2 LI-REMOTE

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Remote Embedded Machine Learning information

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$70K

$153.4K

$174K

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

As of Aug 19, 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?

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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:

Remote Embedded Machine Learning jobs near you
Infographic showing various Remote Embedded Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.

Principal Machine Learning Scientist

Gather AI

Remote

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Gather AI is pioneering a new era of warehouse intelligence through a groundbreaking, vision-powered platform that utilizes autonomous drones for real-time data capture. The Principal Machine Learning Scientist will advance computer vision systems for warehouse inventory scanning, overseeing the full ML lifecycle and collaborating with cross-functional teams to deliver impactful improvements.
Responsibilities:
• Advance core computer vision model performance (object detection, segmentation, OCR) for warehouse inventory scanning across drone and MHE Vision platforms
• Own the full ML lifecycle from research and experiment design through production deployment and monitoring — applying rigorous ablation studies and SOTA methodology
• Collaborate with the ML infrastructure team on model optimization and deployment across cloud and edge inference targets (ONNX, TensorRT, quantization)
• Work with Operations and Product to understand customer needs and translate them into ML improvements with measurable business impact
• Provide technical leadership and mentorship to the ML team, raising standards for experiment design, model evaluation, and production readiness
• Explore next-generation perception capabilities, including embedded and on-prem inference optimization for new deployment targets
Qualifications:
Required:
• 10+ years of experience in machine learning or computer vision
• Deep expertise in CNNs, object detection, image segmentation, and OCR using PyTorch (preferred) or TensorFlow
• Strong Python proficiency and software engineering fundamentals; hands-on experience with OpenCV and GPU computing
• Track record of delivering production ML systems at scale, including model training, evaluation, and deployment
• MS or PhD in Computer Science, Machine Learning, Robotics, or a related field
Preferred:
• Experience with drone, robotics, or autonomous systems perception
• Publications in top vision or robotics conferences (CVPR, ICCV, ICRA, NeurIPS, CoRL)
• Experience designing and deploying models for real-time inference on constrained compute platforms
• Warehouse, logistics, or supply chain domain experience
Company:
We deliver the foundational intelligence layer for the intralogistics industry. Founded in 2017, the company is headquartered in Pittsburgh, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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