Principal Machine Learning Engineer I
LexisNexis5 months ago
Base Salary
$136k - $253k/yr
Responsibilities
- Provide architectural direction, code-level guidance, design reviews, performance reviews, and technical roadmap planning.
- Architect distributed ML systems serving multiple global products and standardize infrastructure patterns for LLM serving and retrieval systems.
- Define and implement enterprise-ready agentic frameworks and multi-step reasoning systems.
- Lead decisions between deterministic workflows and autonomous agents.
- Implement guardrails, safety layers, traceability mechanisms, and evaluation frameworks for reasoning quality, hallucination rates, and reliability.
- Establish ML engineering best practices, CI/CD standards, enterprise data governance, and responsible AI compliance.
Requirements
- 10+ years of machine learning or software engineering experience.
- Master's or bachelor's degree; a computer science degree is highly desirable.
- Strong software engineering background with experience in system design and architecting AI features or products for large user bases and high volumes of unstructured data.
- Experience deploying machine learning systems to production.
Benefits
- Eligible for an annual incentive bonus.
- Country-specific benefits are available based on location.
- The employer provides an accessible hiring process and disability or other accommodation support.
Categories
About LexisNexis
LexisNexis builds research, content, and workflow software for legal, regulatory, and business professionals, including the Lexis+ platform and AI‑assisted drafting and analytics tools. It sells subscriptions and licenses to primary law, news, and practical guidance, plus SaaS products for litigation, compliance, and practice management used by law firms, corporate legal, governments, and universities. Founded in 1970 and headquartered in New York City, it is part of RELX and serves customers in 150+ countries.