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Remote Senior Machine Learning Engineer Jobs in Rockingham, NC

The Technical Support Specialist is a senior member of the EnrollHere Support team, responsible for ... PTO & Flexibility: Generous PTO and remote work support * Growth: Learning stipends and ...

Remote Senior Machine Learning Engineer information

See Rockingham, NC salary details

$63.6K

$120.6K

$161.6K

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

As of Aug 19, 2026, the average yearly pay for remote senior machine learning engineer in Rockingham, NC is $120,634.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What are the key skills and qualifications needed to thrive as a remote senior machine learning engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Rockingham, NC?

For Remote Senior Machine Learning Engineer jobs in Rockingham, NC, the most frequently searched job titles are:

What job categories do people searching Remote Senior Machine Learning Engineer jobs in Rockingham, NC look for?

The top searched job categories for Remote Senior Machine Learning Engineer jobs in Rockingham, NC are:

What cities near Rockingham, NC are hiring for Remote Senior Machine Learning Engineer jobs?

Cities near Rockingham, NC with the most Remote Senior Machine Learning Engineer job openings:

Infographic showing various Remote Senior Machine Learning Engineer job openings in Rockingham, NC as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $120,634 per year, or $58 per hour.

Technical Support Specialist

EnrollHere

Pinehurst, NC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

EnrollHere is on a mission to make healthcare enrollment simple, transparent, and accessible for everyone. We partner with organizations nationwide to deliver streamlined technology and exceptional customer experiences, ensuring members can access the coverage they need with confidence. Our fully remote team thrives on collaboration, innovation, and a shared commitment to improving the enrollment journey for all.

The Technical Support Specialist is a senior member of the EnrollHere Support team, responsible for owning frontline support quality, mentoring teammates, and serving as the primary escalation point for technical and workflow-related issues. This role is ideal for someone who has hands-on Intercom experience, understands modern ticketing systems, and enjoys balancing customer-facing support with operational leadership. You'll work closely with Product, Engineering, and Operations to improve support workflows and customer experience.

Responsibilities
  • Serve as the primary escalation point for complex Tier 2-3 issues involving platform workflows, integrations, dialer tools, and account configurations.
  • Respond to high-impact agent, partner, and internal inquiries via Intercom (chat & email) with speed, clarity, and empathy.
  • Ensure SLA adherence and consistent response quality across active conversations.
  • Identify patterns in support issues and proactively recommend solutions.

Support Leadership & Enablement

  • Act as a day-to-day lead for the support function, helping unblock teammates and setting quality standards.
  • Review tickets for accuracy, tone, and technical correctness.
  • Assist with onboarding and ramping new support hires.
  • Contribute to and refine support macros, workflows, and automations in Intercom.

Technical Troubleshooting

  • Diagnose browser-based issues using developer tools, console logs, cookies, network requests, and basic HTML/CSS inspection.
  • Clearly document bugs, edge cases, and reproduction steps for Engineering.
  • Partner with Product and QA to validate fixes and communicate resolutions back to users.

Documentation & Process Improvement

  • Own and improve internal and external documentation using Notion and Intercom Articles.
  • Identify gaps in onboarding, help content, and self-service resources.
  • Help scale support operations by improving workflows, tagging, reporting, and escalation paths.
What Success Looks Like
  • Own and scale technical support operations, including escalations, workflow optimization, and Intercom efficiency.
  • Improve documentation, onboarding flows, and self-service resources to reduce repeat issues.
  • Act as a strong technical liaison between Support, QA, and Engineering to improve issue resolution and product feedback loops.

Requirements

  • 2-4 years of experience in technical support, customer support, or a similar role.
  • Strong hands-on experience with Intercom (Inbox, Articles, automations, macros).
  • Experience working in a ticket-based support environment (Intercom, Zendesk,
  • Freshdesk, Jira Service Management, etc.).
  • Comfortable troubleshooting browser-based applications using developer tools.
  • Excellent written communication and a calm, customer-first mindset.
  • Proven ability to manage multiple priorities in a fast-paced, remote environment.

Benefits

We believe in taking care of our team, which is why we offer a comprehensive benefits package that supports your health, wellness, and future:

  • Medical: 4 United Healthcare medical plans (including an HSA option)
  • Dental: 3 dental plans (Aetna and MetLife)
  • Vision: 2 Aetna vision plans
  • Wellness & Mental Health: 5 additional Medical Plus benefits, including telehealth support and an annual Talkspace subscription
  • Ancillary Coverage: 4 ancillary plans and supplemental life insurance
  • Retirement: 401(k) with a 4% match (after a 90-day exclusionary period)
  • PTO & Flexibility: Generous PTO and remote work support
  • Growth: Learning stipends and opportunities for professional development