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From Home Embedded Machine Learning Jobs (NOW HIRING)

Develop algorithms that extract structured signals and latent variables from noisy sensor inputs ... Exposure to embedded or edge deployment constraints * Background in applied domains involving ...

Machine Learning Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

... from resource-constrained edge compute to full-sized data centers * Stay current with the latest machine learning research for wireless and embedded systems, applying ingenuity and a deep ...

Bachelor's or Master's degree in Computer Science or related field from an accredited college or ... Machine Learning Model Development * Data Preprocessing and Analysis * Model Deployment

Our highly motivated Machine Learning Engineers work on these challenging problems and define ... Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year ...

You may have the flexibility to work from home one or more days per week. This position will be ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

You may have the flexibility to work from home one or more days per week. This position will be ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

Our highly motivated Machine Learning Engineers work on these challenging problems and define ... Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year ...

We give everyone-from emerging artists to global brands- everything they need to design and deliver ... Apply machine learning/reinforcement learning to improve content understanding, computer vision ...

We give everyone-from emerging artists to global brands- everything they need to design and deliver ... Apply machine learning/reinforcement learning to improve content understanding, computer vision ...

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From Home Embedded Machine Learning information

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$70K

$153.4K

$174K

How much do from home embedded machine learning jobs pay per year?

As of Sep 11, 2026, the average yearly pay for from home 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.
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Infographic showing various From Home Embedded Machine Learning job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 73% Full Time, 21% Part Time, and 4% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% 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

$137K - $181K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 10 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.
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