Lead ML Engineer: Architect of Scalable AI Systems

LexisNexis; Raleigh (NC); On-site; USD 115,400 - 192,300; Full time

Benefits offered by this job

Annual incentive bonus

Country-specific benefits

Job summary

LexisNexis is seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems for legal research products. You will lead a 4-5 person ML team, drive platform-level decisions, and ensure enterprise-grade scalability and governance.

The role combines deep ML expertise with distributed systems engineering and AI platform development, including architectural direction, design reviews, and roadmap planning. A strong track record in production ML is essential.

Qualifications

• 8-10 years of Machine Learning/Software Engineer experience.
• 2-3 years of people management experience.
• Master’s or bachelor’s degree in computer science preferred.
• Strong background in building large-scale ML systems and production deployments.

Responsibilities

• Lead, mentor, and grow a team of 4-5 ML engineers.
• Provide architectural direction and code-level guidance.
• Define and establish ML lifecycle CI/CD standards and best practices.
• Architect distributed ML systems for multiple global products.
• Ensure responsible AI compliance and governance.

Skills

Team leadership

People management

System design

ML/AI development

Large-scale data processing

Education

Master's degree (CS preferred)

Bachelor's degree (CS preferred)

Tools

TensorFlow

PyTorch

Job description

LexisNexis is seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems for legal research products. You will lead a 4-5 person ML team, drive platform-level decisions, and ensure enterprise-grade scalability and governance.

The role combines deep ML expertise with distributed systems engineering and AI platform development, including architectural direction, design reviews, and roadmap planning. A strong track record in production ML is essential.