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Remote Machine Learning Jobs in Durham, NC (NOW HIRING)

Senior Software Engineer

Raleigh, NC · On-site +1

$119K - $157K/yr

Experience with data mining or machine learning techniques * Experience with text codec, encoding & web protocols * Bash, Scala, C, or Hive development experience * Experience with full stack ...

Senior Software Engineer

Raleigh, NC · Remote

$125K - $165K/yr

Experience with data mining or machine learning techniques * Experience with text codec, encoding & web protocols * Bash, Scala, C, or Hive development experience * Experience with full stack ...

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

Experience preparing and transforming data for analytics, machine learning, search, or AI-enabled ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

Experience with AI and Machine Learning Job Environment & Physical Requirements: * Travel up to 10% of the time * Fully Remote SECU provides equal employment opportunity to all qualified persons ...

New

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

Showing results 41-60

Remote Machine Learning information

See Durham, NC salary details

$24.6K

$41.1K

$85K

How much do remote machine learning jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote machine learning in Durham, NC is $41,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $44,400.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.
What are the most commonly searched types of Machine Learning jobs in Durham, NC? The most popular types of Machine Learning jobs in Durham, NC are:
What are popular job titles related to Remote Machine Learning jobs in Durham, NC? For Remote Machine Learning jobs in Durham, NC, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Durham, NC look for? The top searched job categories for Remote Machine Learning jobs in Durham, NC are:
What cities near Durham, NC are hiring for Remote Machine Learning jobs? Cities near Durham, NC with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Durham, NC as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $41,149 per year, or $19.8 per hour.

Senior Director of Fraud Intelligence & Strategy (Remote - GA & NC)

First Citizens Bank

Raleigh, NC • Remote

Full-time

Posted 3 days ago

New


First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

108th of 170 rated banks


Job description

Overview

This is a remote role that may only be hired in North Carolina or Georgia.

The Senior Director of Fraud Strategy & Analytics is a senior leadership role responsible for directing the bank's fraud risk strategy, analytics, reporting, and loss management activities across consumer, commercial, and digital banking channels. This executive will lead the development and execution of the enterprise fraud strategy roadmap, oversee fraud performance management, drive data-driven decision making, and ensure fraud losses remain within board-approved risk appetite.

The role partners closely with Business Lines, Operations, Technology, Product, Risk Management, Finance, Compliance, and Executive Leadership to identify emerging threats, enhance fraud controls, optimize customer experience, and deliver sustainable reductions in fraud losses. The Senior Director will lead a high-performing team of fraud strategists, analysts, and risk professionals while providing thought leadership on industry trends, emerging fraud typologies, and control innovation.


Responsibilities

Fraud Reporting & Executive Governance

  • Establish and oversee a comprehensive fraud reporting framework across the enterprise.
  • Deliver executive, board, and regulatory reporting on fraud performance, key risk indicators, and emerging threats.
  • Develop and enhance fraud scorecards, dashboards, performance metrics, and management reporting.
  • Ensure reporting accuracy, consistency, and transparency across all fraud disciplines.
  • Present fraud trends, strategic initiatives, and risk assessments to executive leadership and risk governance forums.

Loss Deconstruction & Root Cause Analytics

  • Lead enterprise fraud loss deconstruction efforts to identify underlying drivers, vulnerabilities, and control gaps.
  • Conduct deep-dive analyses to quantify loss sources across products, channels, attack vectors, and customer journeys.
  • Translate analytical insights into actionable business recommendations.
  • Establish methodologies for measuring fraud control effectiveness and return on investment.
  • Drive fact-based prioritization of risk mitigation initiatives.

Fraud Controls & Strategy Optimization

  • Identify opportunities to strengthen fraud controls while balancing customer experience and operational efficiency.
  • Lead the design, implementation, and optimization of fraud strategies, rules, authentication controls, and decisioning frameworks.
  • Partner with Fraud Operations and Technology teams to improve detection capabilities and fraud prevention effectiveness.
  • Oversee control testing, performance monitoring, and continuous improvement efforts.
  • Support implementation of advanced analytics, machine learning, and emerging fraud technologies.

Business Line Partnership

  • Serve as the primary fraud strategy partner to consumer banking, payments, cards, digital banking, commercial banking, and other business leaders.
  • Collaborate with product and business teams to evaluate fraud risks associated with new products, services, and strategic initiatives.
  • Influence investment decisions and prioritization of fraud mitigation initiatives.
  • Balance risk management objectives with customer, revenue, and growth considerations.
  • Build strong relationships across the enterprise to ensure alignment on fraud priorities and outcomes.

Team Leadership

  • Lead, mentor, and develop a team of fraud strategy, analytics, and reporting professionals.
  • Foster a culture of accountability, innovation, collaboration, and continuous improvement.
  • Establish performance objectives and succession planning strategies.
  • Attract, retain, and develop top fraud and analytics talent.
  • Promote analytical rigor and data-driven decision making throughout the organization.

Qualifications

Bachelor's Degree and 12 years of experience in Fraud risk management, fraud detection, and data analytics, OR High School Diploma or GED and 16 years of experience in Fraud risk management, fraud detection, and data analytics,

Bachelor's Degree and 12 years of experience in Fraud risk management, fraud detection, and data analytics, OR High School Diploma or GED and 16 years of experience in Fraud risk management, fraud detection, and data analytics,

Required Experience

  • Bachelor's degree in Finance, Business, Economics, Statistics, Mathematics, Data Science, Risk Management, or related field.
  • 12+ years of progressive experience in fraud risk management, fraud strategy, analytics, financial crimes, or related disciplines within a large financial institution.
  • 8+ years of management experience leading high-performing teams.
  • Demonstrated success managing fraud performance and loss mitigation programs in a large banking environment.
  • Experience developing and executing enterprise fraud strategies and roadmaps.
  • Proven track record of influencing senior executives and delivering measurable fraud loss reductions.
  • Risk Identification
  • Risk Mitigation 

Preferred Experience

  • Master's degree (MBA, Analytics, Data Science, Finance, or related discipline).
  • Experience supporting Board and Executive Risk Committee reporting.
  • Experience with payments, card fraud, deposit fraud, digital banking fraud, account takeover, check fraud, and emerging fraud typologies.
  • Knowledge of fraud detection technologies, machine learning applications, and advanced analytics techniques.
  • Professional certifications such as CFE, CRCM, CAMS, or equivalent.

Core Competencies

  • Fraud Strategy Development
  • Fraud Risk Management
  • Loss Deconstruction & Root Cause Analysis
  • Advanced Analytics & Data Interpretation
  • Executive Communication
  • Risk Appetite Management
  • Enterprise Governance & Reporting
  • Business Partnership & Influence
  • Strategic Planning & Roadmap Development
  • Fraud Controls & Optimization
  • Financial Acumen
  • Change Leadership
  • Talent Development
  • Cross-Functional Collaboration

#LI-LM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 12 years of experience in Fraud risk management, fraud detection, and data analytics, OR High School Diploma or GED and 16 years of experience in Fraud risk management, fraud detection, and data analytics,

Bachelor's Degree and 12 years of experience in Fraud risk management, fraud detection, and data analytics, OR High School Diploma or GED and 16 years of experience in Fraud risk management, fraud detection, and data analytics,

Required Experience

  • Bachelor's degree in Finance, Business, Economics, Statistics, Mathematics, Data Science, Risk Management, or related field.
  • 12+ years of progressive experience in fraud risk management, fraud strategy, analytics, financial crimes, or related disciplines within a large financial institution.
  • 8+ years of management experience leading high-performing teams.
  • Demonstrated success managing fraud performance and loss mitigation programs in a large banking environment.
  • Experience developing and executing enterprise fraud strategies and roadmaps.
  • Proven track record of influencing senior executives and delivering measurable fraud loss reductions.
  • Risk Identification
  • Risk Mitigation 

Preferred Experience

  • Master's degree (MBA, Analytics, Data Science, Finance, or related discipline).
  • Experience supporting Board and Executive Risk Committee reporting.
  • Experience with payments, card fraud, deposit fraud, digital banking fraud, account takeover, check fraud, and emerging fraud typologies.
  • Knowledge of fraud detection technologies, machine learning applications, and advanced analytics techniques.
  • Professional certifications such as CFE, CRCM, CAMS, or equivalent.

Core Competencies

  • Fraud Strategy Development
  • Fraud Risk Management
  • Loss Deconstruction & Root Cause Analysis
  • Advanced Analytics & Data Interpretation
  • Executive Communication
  • Risk Appetite Management
  • Enterprise Governance & Reporting
  • Business Partnership & Influence
  • Strategic Planning & Roadmap Development
  • Fraud Controls & Optimization
  • Financial Acumen
  • Change Leadership
  • Talent Development
  • Cross-Functional Collaboration

#LI-LM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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