Senior ML Engineer - Scalable Semantic Search

Enigma Technologies; Los Angeles (CA); On-site; Confidential; Full time

Job summary

Enigma Technologies is seeking a Senior/Staff Machine Learning Engineer for the Match Team in Los Angeles area. You will lead end-to-end ML and systems work to power fast, reliable search experiences at scale across data products.

You’ll design models, evaluation frameworks, and production-ready retrieval systems with a strong emphasis on latency and relevance. The role requires deep expertise in information retrieval, ranking, and distributed systems, plus hands-on experience deploying in cloud

Qualifications

• 5+ years of experience across machine learning, software engineering, data science, or data-intensive product systems.
• Strong programming proficiency in Python and experience operating within cloud environments (AWS preferred).
• Production-level expertise in two or more of information retrieval, ranking systems, NLP/embedding models, or distributed systems.

Responsibilities

• Develop innovative solutions to complex problems in information retrieval, ranking, semantic search, query understanding, and recommendation systems.
• Build and optimize low-latency, high-throughput search APIs, indexing pipelines, and retrieval systems using Python, Typesense, and AWS.
• Evaluate and evolve our search technology stack, driving technical design decisions across indexing strategies, retrieval architecture, and system performance tradeoffs.
• Lead end-to-end work from research design through experimentation, productionization, and customer-facing delivery.
• Design evaluation frameworks for measuring relevance, precision/recall, ranking quality, and user engagement signals.
• Improve query understanding via techniques like embedding models, vector search, hybrid retrieval, and query rewriting.
• Detect and investigate anomalies in search performance, ranking behavior, and data freshness, tracing issues to root cause.
• Partner closely with Product, Engineering, and client stakeholders to improve search experience and discoverability.
• Mentor teammates and help raise the bar for experimentation rigor, system design, and operational excellence.

Skills

Python

AWS

Information retrieval

Ranking systems

NLP embeddings

Distributed systems

Communication

Education

Advanced degree in a quantitative discipline

Tools

Typesense

Elasticsearch/OpenSearch/FAISS

Python

AWS

Job description

Enigma Technologies is seeking a Senior/Staff Machine Learning Engineer for the Match Team in Los Angeles area. You will lead end-to-end ML and systems work to power fast, reliable search experiences at scale across data products.

You’ll design models, evaluation frameworks, and production-ready retrieval systems with a strong emphasis on latency and relevance. The role requires deep expertise in information retrieval, ranking, and distributed systems, plus hands-on experience deploying in cloud