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Remote Full Stack Machine Learning Engineer Jobs in Denver, NC

Staff Full Stack Software Engineer

Concord, NC ยท Remote

$185K - $200K/yr

Summary of Position We are seeking a Staff Full Stack Engineer who is a hands-on technical leader with deep experience in Ruby on Rails and NodeJS, and a strong track record of designing, building ...

Full Stack Developer - Hybrid

Charlotte, NC ยท On-site +1

$49.66 - $59.66/hr

Genesis10 is currently seeking a Full Stack Developer - Remote position with a Major Financial Services Firm located in Charlotte, NC. This is a 12+ month contract opportunity. Responsibilities:

New

Senior Full-Stack Engineer (Frontend-Leaning) You'll own KnoxAI's entire frontend experience across two Nuxt 3 applications: the Admin interface (for Knox employees managing customer assessments) and ...

Senior Machine Learning Test Engineer

Concord, NC ยท On-site +1

$102K - $133K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Showing results 1-20

Remote Full Stack Machine Learning Engineer information

See Denver, NC salary details

$41.2K

$124.7K

$176.2K

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

As of Jun 19, 2026, the average yearly pay for remote full stack machine learning engineer in Denver, NC is $124,658.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $146,100.00 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 cities near Denver, NC are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities near Denver, NC with the most Remote Full Stack Machine Learning Engineer job openings:
Staff Full Stack Software Engineer

Staff Full Stack Software Engineer

Teladoc

Concord, NC โ€ข Remote

$185K - $200K/yr

Full-time

Posted 7 days ago


Job description

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

We are seeking a Staff Full Stack Engineer who is a hands-on technical leader with deep experience in Ruby on Rails and NodeJS, and a strong track record of designing, building, and modernizing scalable enterprise applications. This role requires an individual who can provide technical direction, establish engineering standards, drive architectural improvements, and contribute directly to the delivery of high-quality solutions.

Essential Duties and Responsibilities

  • Lead the architecture, design, development, and support of full stack applications using Ruby on Rails on the backend and ReactJS on the frontend.

  • Establish, implement, and uphold engineering standards related to code quality, maintainability, linting, secure coding, and performance across applications built on the Ruby technology stack

  • Drive application modernization initiatives, including decomposition of legacy monolithic systems into microservices-oriented architectures where appropriate

  • Contribute to cloud-native solution design and operational maturity across environments hosted in Azure/AWS involving Kubernettes, CI/CD Tools like Jenkins and GitHub Actions

  • Build and enhance unit, integration, and automated test coverage using RSpec and other relevant tools to ensure application stability and quality

  • Participate in technical roadmap planning, solution reviews, and architecture decisions to ensure systems are scalable, resilient, and aligned to business goals

Required Qualifications

  • Bachelor's degreein Computer Science, Engineering, Business Management, or a related field.

  • 9+ years of experience in the IT industry, including software engineering and application development.

  • 4+ years of hands-on experience building and maintaining production applications with Ruby on Rails.

  • Experience designing, building, and supporting scalable web applications in a cloud-based environment(e.g., AWS, Azure, or comparable platforms).

  • Solid understanding of modern application architecture, including service-oriented or API-driven designs.

  • Experience building and consuming APIs (REST and/or GraphQL) and familiarity with common authentication and authorization approaches.

  • Demonstrated ability to contribute to or lead technical initiatives such as system enhancements, platform improvements, refactoring efforts, or reliability and performance improvements.

  • Proven problem-solving skills, including the ability to troubleshoot production issues, perform root cause analysis, and optimize application performance.

  • Experience working with Kubernetes for container orchestration.

  • Experience building and maintaining CI/CD pipelines (Jenkins, GitHub Actions, or equivalent).

Preferred Qualifications

  • Master's degree in a related field.

  • Experience creating internal platforms/self-service capabilities that improve developer experience and delivery throughput.

  • Leading/Mentoring team members on best practices and explaining technical concepts.

  • Knowledge of performance optimization, system reliability, and observability in high-scale production systems.

  • Familiarity with platform development in healthcare, fintech, or other regulated environments.

The base salary range for this position is$185,000 - $200,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

  • Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

  • Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

  • Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

  • Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

  • Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

  • Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.


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About Teladoc

Sourced by ZipRecruiter

Industry

Fitness and sports centers

Company size

1,001 - 5,000 Employees

Headquarters location

New York, NY, US

Year founded

2002