Senior Machine Learning Engineer, Match Team

Enigma•Los Angeles, CA

About The Position

This is a critical and exciting time at Enigma. Our customers consistently tell us that our data products create tremendous value and are deeply aligned with their most important workflows. As demand grows, we have an urgent opportunity to improve both the intelligence of our data and the systems through which customers access it. We are looking for an experienced Senior Machine Learning Engineer to join our Match Team and help shape the next generation of Enigma’s customer-facing data products. In this role, you will combine advanced statistical and machine learning research with the engineering systems required to power fast, relevant, and reliable search experiences at scale. This is a uniquely high-impact role sitting at the intersection of information retrieval, ranking systems, semantic search, distributed systems, and customer data delivery. At the core of Enigma’s product is our data, which makes both data science and delivery systems central to what we build. As a Senior ML Engineer on the Match Team, you will lead efforts that improve the relevance, latency, and scalability of our customer-facing data products. You’ll work across the full lifecycle: framing retrieval and ranking problems, developing models and experimentation strategies, evaluating results using real-world signals, and implementing high-throughput search and retrieval systems. This role is ideal for someone who is excited by both hard ranking/search problems and the systems challenges of turning those solutions into low-latency, production-grade retrieval systems.

Requirements

Brings 5+ years of experience across machine learning, software engineering, data science, or data-intensive product systems
Has strong programming proficiency in Python and experience operating within cloud environments (AWS preferred)
Demonstrated applied, production-level expertise in two or more of the following technical domains: information retrieval, ranking systems, NLP/embedding models, or distributed systems.
Has experience designing, fine-tuning, and operating high-scale backend systems, APIs, or data delivery platforms
Brings strong judgment in ambiguous environments where relevance signals and ground truth are noisy or implicit
Effectively communicates technical concepts and tradeoffs to technical and non-technical audiences
Thrives in highly collaborative environments with strong ownership and fast iteration cycles
Has an advanced degree in a quantitative discipline or equivalent deep industry experience

Nice To Haves

Have deep experience with our core stack (Typesense, Python, AWS) or similar retrieval infrastructure (Elasticsearch, OpenSearch, FAISS)
Have built customer-facing search or recommendation systems or APIs
Have worked on query understanding, embeddings, LLM-powered retrieval, or hybrid search systems
Have mentored senior engineers or data scientists and raised the technical bar across disciplines

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

Benefits

All of our compensation packages include equity because we believe 100% of Enigma employees should have the option to purchase ownership in the company and benefit from the value we’re creating together.

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