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Quantitative Researcher Machine Learning Jobs in Raleigh, NC

ExtendMyTeam

Machine Learning Engineer

Cary, NC

This is a hands-on engineering role focused on production systems, model deployment, APIs, pipelines, and ML operations rather than purely research-oriented machine learning work. Responsibilities

CoVar

Machine Learning Engineer

Durham, NC

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the ...

Vadum, Inc.

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

Research state-of-the-art methods to solve difficult and/or complex problems. * Responsibly and ... Experience with industry-standard machine learning frameworks (PyTorch, TensorFlow, Scikit-Learn ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. In this role, you will help develop software and machine learning ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC · On-site

Research state-of-the-art methods to solve difficult and/or complex problems. * Responsibly and ... Experience with industry-standard machine learning frameworks (PyTorch, TensorFlow, Scikit-Learn ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC

Research state-of-the-art methods to solve difficult and/or complex problems. * Responsibly and ... Experience with industry-standard machine learning frameworks (PyTorch, TensorFlow, Scikit-Learn ...

Duke University

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

Research, develop, and backtest systematic investment strategies in collaboration with investment ... Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques.

Duke University

Quantitative Associate

Durham, NC

$125K - $140K/yr

Research, develop, and backtest systematic investment strategies in collaboration with investment ... Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques.

OptiTrack

Machine Learning & Operations Engineer

Durham, NC · Remote

$71.10K - $96.20K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

OptiTrack

Machine Learning & Operations Engineer

Durham, NC · Remote

$67.20K - $90.80K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

Fidelity Investments

Senior Quant Developer

Durham, NC

$97K - $185K/yr

... our Quantitative Research & Investments Technology (QRIT) team in Fidelity Asset Management ... and learning resources to develop your career. Note, the application window closes when the ...

RELX Group plc

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 ...

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC

$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 ...

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

As of May 31, 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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Quantitative Researcher Machine Learning jobs near you

Machine Learning Engineer

ExtendMyTeam

Cary, NC

Full-time

Posted 11 days ago

Job description

Join a high-growth financial technology organization focused on building modern digital banking, payments, lending, and risk solutions for financial institutions and fintech partners. This team is investing in machine learning and analytics capabilities to help improve fraud detection, predictive insights, and operational decision-making across customer-facing products.

This is an opportunity to work on applied machine learning systems that directly support real-world fraud and risk workflows. The team owns solutions end-to-end and is focused on building scalable, production-ready ML applications that deliver measurable customer impact.

Position Summary

We are seeking a Machine Learning Engineer to help design, deploy, and support production machine learning systems within a collaborative engineering organization. This individual will work closely with software engineers, data scientists, and product teams to operationalize machine learning models, improve ML infrastructure, and support scalable analytics workflows.

This is a hands-on engineering role focused on production systems, model deployment, APIs, pipelines, and ML operations rather than purely research-oriented machine learning work.

Responsibilities

  • Build and maintain systems and pipelines supporting machine learning training, evaluation, inference, and monitoring

  • Deploy and support machine learning models in production environments

  • Write clean, scalable, maintainable, and well-tested Python code

  • Support monitoring, troubleshooting, and optimization of production ML systems and data pipelines

  • Collaborate cross-functionally with engineering, data science, and product teams to operationalize ML solutions

  • Improve the reliability, scalability, and performance of ML infrastructure and services

  • Contribute to tooling and processes that support the machine learning development lifecycle

  • Participate in code reviews, technical discussions, and collaborative problem solving

Required Qualifications

  • 2+ years of experience in machine learning engineering, software engineering, or related technical experience

  • Strong Python development experience

  • Experience working with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn

  • Experience deploying or supporting machine learning models in production environments

  • Experience writing clean, maintainable code and using version control tools such as Git

  • Exposure to cloud platforms such as AWS, GCP, or Azure

  • Understanding of taking machine learning models from research/development into production systems

Additional Information

  • Hybrid work environment based in Cary, NC

  • Applicants must be authorized to work in the U.S. without sponsorship

  • Competitive compensation, benefits, flexible time off, and career development opportunities