Machine Learning Engineer Lead

Machine Learning Engineer Lead

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.

• 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 Engineer experience
• 2‑3 years of people management experience
• Master’s degree or bachelor’s degree; a computer science degree is highly desirable
• Strong software engineering background with experience in building system design, architecting AI feature/products that cater to large number of users and deal with 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 better reflect local market rates. This job is eligible for an annual incentive bonus. Benefits are country specific.