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Machine Learning Jobs in Raleigh, NC (NOW HIRING)

Sennos

Sr ML/AI Engineer

Durham, NC · On-site

$101K - $138K/yr

The role serves as a technical authority on advanced machine learning - helping Sennos formulate complex modeling problems, design rigorous experiments, build and evaluate sophisticated models, and ...

Capgemini

Data Scientist

Cary, NC · On-site

$85.79 - $97.27/hr

Design, develop, train, and optimize machine learning and deep learning models for marketing, customer engagement, sales, and business analytics use cases.* Analyze complex datasets to identify ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site

Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems. • Data Analysis and Modeling: Oversee advanced data analysis, modeling ...

Duke University

Postdoctoral Associate

Durham, NC · On-site

Postdoctoral Associate, Diagnostic Imaging & Machine Learning Be You. At Duke, we celebrate individuality and the unique perspectives that each member of our community brings. As a Postdoctoral ...

Duke University

Postdoctoral Associate

Durham, NC

Postdoctoral Associate, Diagnostic Imaging & Machine Learning Be You. At Duke, we celebrate individuality and the unique perspectives that each member of our community brings. As a Postdoctoral ...

Jobtailor

Data Scientist

Raleigh, NC · On-site

$110 - $170/hr

* Design and implement statistical and machine learning models for time-series forecasting, anomaly detection, and asset health scoring across utility networks. * Build and maintain end-to-end ML ...

Korn Ferry

Director, Data Sciences

Raleigh, NC · On-site

Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems. • Data Analysis and Modeling: Oversee advanced data analysis, modeling ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

They are seeking a Senior Data Scientist to lead AI and machine learning model development, analyze large datasets, and mentor junior team members. Responsibilities : • Working closely with other ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

They are seeking a Senior Data Scientist to lead AI and machine learning model development, analyze large datasets, and mentor junior team members. Responsibilities : • Working closely with other ...

CoVar

Software Engineer

Durham, NC · On-site

They are seeking a motivated Software Engineer to develop and maintain applications that involve data processing and machine-learning algorithm integration. Responsibilities : • develop and ...

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Showing results 41-60

All JobsMachine Learning JobsMachine Learning Jobs in Raleigh, NC

Machine Learning information

See Raleigh, NC salary details

$24.8K

$41.3K

$85.4K

How much do machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for machine learning in Raleigh, NC is $41,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Raleigh, NC?

The most popular types of Machine Learning jobs in Raleigh, NC are:

What are popular job titles related to Machine Learning jobs in Raleigh, NC?

For Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Machine Learning jobs in Raleigh, NC look for?

The top searched job categories for Machine Learning jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Machine Learning jobs?

Cities near Raleigh, NC with the most Machine Learning job openings:

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Raleigh, NC as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $41,349 per year, or $19.9 per hour.

Senior Machine Learning Engineer, Discovery Recommendations

Epic Games

Cary, NC • On-site

$113K - $149K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

WHAT MAKES US EPIC?
At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating.
Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine and game development.
ANALYTICS
What We Do
Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic.
What You'll Do
You will design, build, and optimize the recommendation systems that power Fortnite's Discover experience, serving personalized recommendations to one of the largest player bases in gaming across a massive catalog of creator-built experiences.
You'll work across the full recommendation stack: candidate generation, content ranking, impression allocation, and real-time reranking.
Unlike recommendation systems that operate over a stable catalog, you're working with a massive, rapidly changing content library where new experiences are published daily, quality signals are sparse, and the system's own outputs shape the data it learns from.
In this role, you will
  • Design and implement retrieval, ranking, and reranking models for creator content using deep learning approaches (two-tower architectures, transformer-based sequence models, embedding-based retrieval) and build the user representation systems that power personalized discovery
  • Build and optimize multi-stage candidate generation and impression allocation pipelines that balance relevance, diversity, and fair content exposure across a large and rapidly evolving catalog
  • Design and run A/B experiments to validate model improvements, own evaluation frameworks that capture recommendation quality holistically, and drive the path from experiment to production deployment
  • Collaborate with analytics and content quality teams on ranking signals including genre classification, creator credibility, and content quality metrics
  • Own ML infrastructure decisions: choosing the right tradeoffs between batch, near-real-time, and streaming serving architectures
What we're looking for
  • 5+ years of experience building production recommendation or ranking systems, ideally in a UGC, marketplace, or content discovery context
  • Experience with deep learning for information retrieval and multi-stage recommendation pipelines (candidate generation, scoring, reranking)
  • Demonstrated ability to design and analyze A/B experiments, with awareness of biases inherent to recommendation systems
  • Strong Python engineering skills with experience in PyTorch and large-scale data processing frameworks (Spark preferred)
  • Comfort working in a cloud-based ML environment
  • Experience with explore/exploit strategies, content cold-start, or counterfactual evaluation methods applied to recommendation
  • Experience with content understanding models (NLP, vision, or generative AI) used as ranking features
  • Familiarity with creator economy dynamics and how recommendation design affects content quality and creator incentives
  • Experience with our stack: PyTorch (TorchRec, Transformers), Ray, Databricks, AWS
  • Passion for video games and/or experience with gaming analytics
EPIC JOB + EPIC BENEFITS = EPIC LIFE
Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.
ABOUT US
Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.
Like what you hear? Come be a part of something Epic!
Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here.
Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

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