Machine Learning Engineer Lead

Machine Learning Engineer Lead — design, build, and operate scalable AI/ML systems and agentic architectures that support next‑generation legal research and analytics products. Lead a team of 4‑5 ML engineers, driving platform‑level decisions and ensuring enterprise‑grade scalability, reliability, and responsible AI compliance.

• 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.

• 8-10 years of Machine Learning/Software Engineering experience.
• 2-3 years of people management experience.
• Master’s degree or bachelor’s degree in computer science or related field (highly desirable).
• Strong software engineering background with experience building system design and architecting AI products that serve large numbers of users and handle large volumes 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 reflect local market rates. This job is eligible for an annual incentive bonus.

We are an equal‑opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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