Senior Applied Machine Learning Engineer - Search

Summary

Join Legion, a company building secure, reliable AI systems, as a Senior Applied ML Engineer - Search. You will design, implement, and optimize search capabilities for our enterprise-level AI platform. Responsibilities include measuring search performance, deploying efficient enterprise search solutions, and leveraging LLMs and AI agents to enhance search. You will collaborate with the infrastructure and platform team and contribute to a culture of continuous learning. The role requires a Bachelor's or Master's degree in a related field and 3+ years of experience in ML and search. Compensation is $205,000-$260,000 USD.

Requirements

• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, or equivalent experience
• 3+ years of experience in ML and search
• Familiarity with document enrichment techniques, with experience in leveraging LLMs and other machine learning models for improved enrichment
• Knowledge of search ranking algorithms, index optimizations, search query optimization, and experience applying machine learning to improve search relevance
• Excitement and enthusiasm for exploring and leveraging advanced search techniques
• Growth mindset and low ego – you’re eager to pick up new tools and technologies, learn from others, and be open to changing course when it’s right

Responsibilities

• Design and build scalable enterprise search solutions, focusing on efficient indexing, retrieval
• Develop and maintain search ranking algorithms using machine learning, vector search, and LLMs to enhance search results and reduce latency
• Contribute to our large-scale machine learning codebase, leading the search-related components and ensuring code quality, scalability, and maintainability
• Apply your production experience with search platforms (e.g., Elasticsearch, Solr) and machine learning systems to ensure the scalability and reliability of our search infrastructure
• Stay updated with the latest advancements in search and ML technologies, vector search, and LLMs, and apply them to improve our applied machine learning search solutions
• Work with a collaborative team of other ML engineers building AI solutions
• Contribute to a culture of continuous learning

Benefits

$205,000 — $260,000 USD