Job Details

Overview

Company Overview:

Legion Intelligence builds secure, reliable systems that work alongside people tackling the world's most critical challenges. Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems to unlock data, accelerate human workflows, and strengthen mission-critical platforms. We optimize workflows to enhance quality, efficiency, and reliability in the platforms our partners already use. We collaborate with organizations like Nvidia, HPE, and Oracle and are building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises. We're looking for bold thinkers and doers to join us in shaping the future of AI that's secure, grounded, and built to work.

Job Summary:

As a Senior Applied ML Engineer - Search, you will design, implement, and optimize search capabilities for our enterprise-level AI platform. Your responsibilities include measuring search performance, deploying efficient enterprise search solutions for various document types, and leveraging LLMs and AI agents to enhance document enrichment, ranking, and retrieval techniques. You will collaborate closely with our infrastructure and platform team to integrate search and ML techniques.

Responsibilities

• Design and build scalable enterprise search solutions, focusing on efficient indexing and 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 ML codebase, leading the search-related components and ensuring code quality, scalability, and maintainability.
• Apply production experience with search platforms (e.g., Elasticsearch, Solr) and ML systems to ensure scalability and reliability of search infrastructure.
• Stay updated with the latest advancements in search and ML technologies, vector search, and LLMs, and apply them to improve applied ML search solutions.
• Collaborate with a team of ML engineers building AI solutions.
• Contribute to a culture of continuous learning.

Required Skills and Qualifications

• 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 and experience leveraging LLMs and other ML models for enrichment.
• Knowledge of search ranking algorithms, index optimizations, and search query optimization; experience applying ML to improve search relevance.
• Excitement and enthusiasm for exploring and leveraging advanced search techniques.
• Growth mindset and low ego – eager to learn new tools and technologies, collaborate, and adapt when needed.

Compensation Information

$205,000 - $260,000 USD

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