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Remote Full Stack Machine Learning Engineer Jobs in Clayton, NC

Redhat

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Implement end-to-end machine learning models and deliver stakeholder-facing analytical outputs by ... the full technology stack, aligned with industry frameworks such as NIST and CIS Controls.

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Operationalize machine learning workflows and support AI-enabled applications from development ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Varsity Tutors

Web Development Tutor

Durham, NC · Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Varsity Tutors

Web Development Tutor

Raleigh, NC · Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Cisco

Account Executive - Splunk (Remote)

Durham, NC · On-site +1

$269K - $360K/yr

... full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified ... Become known as a thought-leader in machine learning and predictive analytics. * Expand ...

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Showing results 21-40

All JobsFull Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer Jobs in Clayton, NC

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 Aug 19, 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 the key skills and qualifications needed to thrive as a remote full stack machine learning engineer?

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 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 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 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:

Remote Full Stack Machine Learning Engineer jobs near you
Infographic showing various Remote Full Stack Machine Learning Engineer job openings in Clayton, NC as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $114,628 per year, or $55.1 per hour.

Agentic Software Engineer (Google Antigravity) - Remote - USA

FullStack Labs

Raleigh, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

About FullStack
FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented software designers and developers by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.2-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We're looking to hire an Agentic Software Engineer (Google Antigravity) to join our team. You'll work with one of our incredible product teams to build and deliver a product to our clients.
What We Are Looking For
  • 5+ years of professional software development experience with a deep understanding of full-stack architectures (e.g., Java, Python, C#, React, Node, etc.).
  • Deep experience using Google Antigravity as a primary development environment to coordinate AI-driven implementation across large, multi-file systems while maintaining architectural oversight.
  • Experience delivering production software where AI systems generate the majority of implementation code.
  • Strong context engineering skills, including structuring codebases, specifications, and documentation to produce reliable, context-efficient AI output.
  • Ability to translate complex product requirements into machine-executable, AI-friendly specifications.
  • Experience designing AI-first development workflows from specification through deployment.
  • Ability to systematically improve AI-generated output through structured iteration and feedback loops.
  • Comfort working across multiple stacks, using AI to deliver high-quality, production-ready systems.
  • Experience operating across frontend, backend, and infrastructure in AI-accelerated environments.
  • Disciplined human-in-the-loop review practices, with risk-adjusted validation for high-impact or safety-critical flows.
  • Strong curiosity and initiative in evaluating and adopting emerging AI-native engineering practices.
  • Advanced understanding of Agile methodologies and Lean principles and participation in team ceremonies as well as asynchronous work.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • A positive mindset and a can-do attitude.
  • Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on commitments.
  • Ability to consistently work 40 hours per week.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave, parental leave, and holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .
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About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

Social media

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