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Quantitative Researcher Machine Learning Jobs in Raleigh, NC

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC · On-site

$115.40K - $192.30K/yr

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This ...

Duke University

RESEARCH TECHNICIAN I

Durham, NC · On-site

$17.50 - $24/hr

... where your quantitative skills, creativity, and scientific interests directly contribute to ... Develop and implement novel machine learning and data analysis methods for large-scale multi-omics ...

RELX

Machine Learning Engineer Lead

Raleigh, NC · On-site

$115.40K - $192.30K/yr

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This ...

Duke University

Associate in Research

Durham, NC

... related quantitative field. * Strong programming skills. * Experience with machine learning ... Ability to work collaboratively with researchers across computational and biomedical disciplines.

Duke University

Associate in Research

Durham, NC · On-site

... related quantitative field. * Strong programming skills. * Experience with machine learning ... Ability to work collaboratively with researchers across computational and biomedical disciplines.

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC

PhD to expect in one year, or PhD completed in the last 1-3 years, in a quantitative discipline ... His research focuses on building accurate, trustworthy, and efficient machine learning systems.

RELX

Principal Machine Learning Engineer I

Raleigh, NC

$136.10K - $252.80K/yr

We are seeking a Principal Machine Learning Engineer to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products.

LexisNexis

Principal Machine Learning Engineer I

Raleigh, NC · On-site

$136.10K - $252.80K/yr

We are seeking a Principal Machine Learning Engineer to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products.

LexisNexis

Principal Machine Learning Engineer I

Raleigh, NC · On-site

$136.10K - $252.80K/yr

We are seeking a Principal Machine Learning Engineer to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products.

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC · On-site

... quantitative genomics areas in and outside Duke University. The postdoc candidate will join a ... His research focuses on building accurate, trustworthy, and efficient machine learning systems.

Duke University

Postdoctoral Associate

Durham, NC

The REGAL (Research to Eliminate GlobAL Cancer Disparities) team at Duke University invites ... Familiarity with causal inference methods or machine learning approaches * Demonstrated experience ...

Duke University

Postdoctoral Associate

Durham, NC · On-site

The REGAL (Research to Eliminate GlobAL Cancer Disparities) team at Duke University invites ... Familiarity with causal inference methods or machine learning approaches * Demonstrated experience ...

Redhat

Senior UX Researcher AI

Raleigh, NC · On-site +1

$118.60K - $195.68K/yr

... quantitative research data into atomic, structured units suitable for cross-system consumption. * Define and maintain the schema and taxonomy that make qualitative findings machine-readable and ...

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How much do quantitative researcher machine learning jobs pay per year?

As of Jun 1, 2026, the average yearly pay for quantitative researcher machine learning in Raleigh, NC is $115,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,300.00 and $148,200.00 per year, depending on experience, location, and employer.
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Machine Learning Engineer Lead

LexisNexis

Raleigh, NC • On-site

$115.40K - $192.30K/yr

Full-time

Posted 20 days ago

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

148th of 425 rated business services

Job description

About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).
About the Role
Do you love collaborating with teams to solve complex technical problems?
We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This role combines deep ML expertise with distributed systems engineering and AI platform development.
In this role you will be a hands-on engineer and leader that will lead a high-performing team of 4-5 ML engineers, drive platform-level decisions, and ensure enterprise-grade scalability, reliability, and responsible AI compliance.
Responsibilities:
  • Lead, mentor, and grow a team of 4-5 ML engineers.
  • Provide architectural direction and code-level guidance.
  • Establish engineering best practices for ML system design, testing, and deployment.
  • Conduct design reviews, performance reviews, and technical roadmap planning.
  • Architect distributed ML systems serving multiple global products.
  • Standardize infrastructure patterns for LLM serving and retrieval systems.
  • Define and implement enterprise-ready agentic frameworks.
  • Architect multi-step reasoning systems.
  • Lead decisions on deterministic workflows vs. autonomous agents.
  • Implement guardrails, safety layers, and traceability mechanisms.
  • Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.
  • Establish CI/CD standards for ML lifecycle management.
  • Ensure compliance with enterprise data governance and responsible AI standards.

Requirements
  • 8-10 years of Machine Learning/Software Engineer experience
  • 2-3 years of people management experience.
  • Master's degree or bachelor's degree, computer science degree is highly desirable.
  • Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data
  • Experience with ML deployment to production
U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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