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Remote Embedded Machine Learning Jobs in Greeneville, TN

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$62K

$135.8K

$154.1K

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

As of Jun 11, 2026, the average yearly pay for remote embedded machine learning in Greeneville, TN is $135,804.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $153,200.00 per year, depending on experience, location, and employer.

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

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 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 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 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 are popular job titles related to Remote Embedded Machine Learning jobs in Greeneville, TN? For Remote Embedded Machine Learning jobs in Greeneville, TN, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in Greeneville, TN look for? The top searched job categories for Remote Embedded Machine Learning jobs in Greeneville, TN are:
What cities near Greeneville, TN are hiring for Remote Embedded Machine Learning jobs? Cities near Greeneville, TN with the most Remote Embedded Machine Learning job openings:
Remote Embedded Machine Learning jobs near you

VP, Head of Engineering Practice - Remote (Jersey City or Raleigh preferred)

Archgroup

Afton, TN • On-site, Remote

$180K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

Position Overview:

We are seeking a visionary and hands-on VP, Head of Engineering Practice to drive innovation across Engineering initiatives, shared services, and foundational frameworks. This role will be pivotal in shaping the engineering culture, establishing best practices, and delivering scalable, cloud-native solutions that power our enterprise platforms.

This is a hybrid, 3x per week, in-office position in our Jersey City or Raleigh Offices. We are also open to a fully remote hire with frequent travel to our Northeast offices.

Key Responsibilities:

  • Strategic Leadership & Governance:
    • Define and execute the engineering strategy for engineering initiatives and shared services
    • Facilitate Engineering Practice meetings with broad representation across teams, including Infrastructure and Security
    • Champion engineering excellence and modern development practices across the organization.
    • Lead workgroups/guilds focused on key engineering topics with defined charters and deliverables
    • Develop and maintain engineering policies and standards
  • Technology Delivery & Innovation:
    • Spearhead the creation of reusable libraries, templates, and frameworks to accelerate development across teams.
    • Lead the design and development of cloud-native, API-first applications with a strong emphasis on scalability, security, and performance.
    • Oversee reference implementations and participate in tool evaluations
    • Participate in architecture decisions and ensure alignment with enterprise standards and business objectives.
    • Drive adoption of DevOps, CI/CD, automated testing, and observability practices.
  • Innovation & Enablement:
    • Foster a culture of innovation and continuous improvement within engineering teams.
    • Collaborate with product and business leaders to identify opportunities for leveraging AI and emerging technologies.
    • Champion AI-driven solutions and integrate GenAI capabilities into engineering workflows (e.g., automated testing, release notes).
    • Establish engineering playbooks and best practices for full-stack development.
    • Build and mentor a team of Junior Engineers
    • Promote knowledge sharing and cross-functional collaboration.

Qualifications, Skills & Experience:

  • Proven experience as a Principal Engineer or senior technology leader with a strong hands-on full-stack background.
  • Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
  • Minimum 15+ years in software engineering, with at least 5 years in a senior technology leadership role.
  • Proven track record of leading large engineering teams and delivering complex enterprise solutions.
  • Expertise in Java, Spring Boot, Angular, and relational/non-relational databases.
  • Deep understanding of cloud-native architectures and API-first design principles.
  • Hands-on experience with Microsoft Azure and related services.
  • Strong knowledge of software engineering best practices, design patterns, and architectural principles.
  • Experience with microservices, containerization (Docker/Kubernetes), and event-driven architectures.
  • Demonstrated ability to lead large-scale engineering initiatives and deliver enterprise-grade solutions.
  • Experience in Insurance P&C domain is strongly preferred.
  • Familiarity in building AI-driven applications and integrating machine learning models into production systems
  • Excellent communication and leadership skills with the ability to influence at all levels.

#LI-Remote
#LI-ZP1

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

$180,000 - $250,000/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

14400 Arch Insurance Group Inc.

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