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Remote Full Stack Machine Learning Engineer Jobs in Clayton, NC

DomainTools is seeking a Software Engineer to join our Frontend Team. This position is perfect for ... machine-learning driven risk analytics delivered in near real-time. DomainTools offers a ...

DomainTools is seeking a Software Engineer to join our Frontend Team. This position is perfect for ... machine-learning driven risk analytics delivered in near real-time. DomainTools offers a ...

DomainTools is seeking a Software Engineer to join our Frontend Team. This position is perfect for ... machine-learning driven risk analytics delivered in near real-time. DomainTools offers a ...

Senior Software Engineer

Raleigh, NC ยท On-site +1

$119K - $157K/yr

Experience with full stack development Benefits DomainTools is the global leader for Internet ... machine-learning driven risk analytics delivered in near real-time. DomainTools offers a ...

Senior Software Engineer

Raleigh, NC ยท Remote

$125K - $165K/yr

Experience with full stack development Benefits DomainTools is the global leader for Internet ... machine-learning driven risk analytics delivered in near real-time. DomainTools offers a ...

Senior ITSMA Observability Engineer

Raleigh, NC ยท On-site +1

$101K - $139K/yr

Our solutions span the full investment lifecycle, including fund accounting, middle office, risk ... Extensive ELK Stack expertise, including Elasticsearch, Logstash, Kibana, Beats, Machine Learning ...

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Remote Full Stack Machine Learning Engineer information

See Clayton, NC salary details

$37.8K

$114.6K

$162K

How much do remote full stack machine learning engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote full stack machine learning engineer in Clayton, NC is $114,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,400.00 and $134,400.00 per year, depending on experience, location, and employer.

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

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

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Clayton, NC? For Remote Full Stack Machine Learning Engineer jobs in Clayton, NC, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Clayton, NC look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Clayton, NC are:
What cities near Clayton, NC are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities near Clayton, NC with the most Remote Full Stack Machine Learning Engineer job openings:
Infographic showing various Remote Full Stack Machine Learning Engineer job openings in Clayton, NC as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $114,628 per year, or $55.1 per hour.

Senior Full Stack Engineer - HealthTech (Remote U.S.)

Urrly

Raleigh, NC โ€ข Remote

$190K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

Work fully remote building real healthcare tech with AI-driven dev workflows.
  • Role: Senior Full Stack Engineer - HealthTech
  • Location/Type: U.S. Remote
  • Pay: $190K-$200K base + equity
  • Schedule: Flexible hours (aligned to PST)
  • Own full builds. No layers. Ship fast. Clear scope. Real patient impact.
What you'll do
  • Build full-stack systems for live healthcare workflows
  • Write clean, tested code (React + Ruby on Rails)
  • Design APIs for ops, logistics, clinical insights
  • Use AI coding agents to ship faster (less busywork)
  • Own features end-to-end (idea launch iteration)
  • Partner with product, ship weekly, improve standards
Must-haves
  • 5+ years full-stack experience (production systems)
  • Strong JavaScript/TypeScript + React
  • Hands-on Ruby on Rails experience (required)
  • Hands-on with AI coding agents (Claude Code, Cursor, or Codex)
  • Can explain apps built using AI agents (problem, stack, impact)
  • Authorized to work in U.S. (no sponsorship)
Nice to have
  • PostgreSQL, AWS, Docker, Kubernetes
  • Data pipelines or analytics-heavy systems
Perks & pay
  • Pay: $190K-$200K base + bonus + equity
  • Health, dental, vision, 401(k), generous PTO
  • Direct access to leadership, fast decisions
  • Modern stack (AI-assisted dev, real-time systems)
Schedule & setup
  • Fully remote (U.S.)
  • Flexible hours, PST overlap
  • No travel
Impact & growth

Your code drives real-time patient decisions.
You ship fast, see results fast, and shape core systems early.

You like pace and ownership. You start, finish, follow through.

At Urrly, fairness matters. We use AI to review every application against the same clear requirements for the role. This means every candidate is evaluated on job-related factors like skills, certifications, and experience-not on personal attributes such as gender, race, age, or background. Our goal is to create a more objective, consistent, and equal opportunity hiring process for all applicants.

Apply Today to build healthcare tech with AI tools and real ownership.Employment Type: FULL_TIME