Senior Machine Learning Engineer Iii ***raleigh, Nc***

RELX (Singapore) Pte Ltd

Raleigh, NC, US
Base: $118,300 - $219,800; bonus: eligible for ann...
Hybrid - 3 days in office
Production ml/llm system implementation
Rag pipeline and prompt orchestration development
Agentic systems with langchain or autogen
RELX is seeking a Senior Machine Learning Engineer III to join their team in Raleigh, NC. The role focuses on architecting and implementing scalable AI systems for legal products, requiring strong technical expertise in machine learning, system design, and cloud-native development

Job Summary

  • This role focuses on leading the implementation and scaling of AI systems specifically for legal products within a hybrid work environment.
  • You will partner with Data Scientists to transform validated models into reliable, high-performance customer-facing systems while defining reusable frameworks.
  • The position offers a competitive base salary range of $118,300 to $219,800 with eligibility for an annual incentive bonus.

Matching Summary

Match Score: 85

RELX is seeking a Senior Machine Learning Engineer III to join their team in Raleigh, NC. The role focuses on architecting and implementing scalable AI systems for legal products, requiring strong technical expertise in machine learning, system design, and cloud-native development.

Salary

Base: $118,300 - $219,800; Bonus: Eligible for annual incentive bonus; Benefits: Country specific benefits offered

Skills & Requirements

Must-have

  • Production ML/LLM system implementation
  • RAG pipeline and prompt orchestration development
  • Agentic systems with LangChain or AutoGen
  • Hybrid search using semantic and lexical methods
  • Distributed systems on AWS cloud infrastructure
  • Python programming with Rust or Go experience
  • API development and Kubernetes containerization

Nice-to-have

  • Experience with Terraform and CloudFormation
  • Big data technologies like Spark and Hadoop
  • Graph database familiarity such as Neo4j
  • High-availability low-latency system design
  • Background in legal or regulatory domains
  • DevOps and CI/CD pipeline optimization

Key Requirements

  • Bachelor's degree in Computer Science or Engineering
  • Strong experience implementing production ML/LLM systems
  • Deep expertise in LLM application development
  • Proficiency in distributed systems and cloud-native development
  • Experience with streaming systems like Kafka and Redis caching

Work Rights

Not specified

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