Enigma
Staff/Senior Machine Learning Engineer, Match Team
$180K–$270K
New York, NY or Los Angeles, CA +1 · Staff · Full-time · Posted Apr 10, 2026
- Location
- New York, NY or Los Angeles, CA
245 5th ave. 17th Fl. New York, NY 10016 - Experience
- 5+ years across machine learning, software engineering, data science, or data-intensive product systems.
- Education
- Advanced degree in a quantitative discipline or equivalent deep industry experience.
About the job
Leads machine learning research and production engineering for customer-facing search, retrieval, and data products, improving relevance, latency, and scalability.
What you'll do
- Develop and productionize retrieval, ranking, semantic search, query-understanding, and recommendation solutions.
- Build and optimize search APIs, indexing pipelines, and retrieval systems; evaluate relevance and investigate performance issues.
- Partner with product, engineering, and client stakeholders, and mentor teammates.
What they ask for
- 5+ years of experience across machine learning, software engineering, data science, or data-intensive product systems.
- Strong Python programming proficiency and experience operating in cloud environments.
- Production-level expertise in two or more of information retrieval, ranking systems, NLP/embedding models, or distributed systems.
- Experience designing, fine-tuning, and operating high-scale backend systems, APIs, or data delivery platforms.
Nice to have
- AWS experience; Typesense or similar retrieval infrastructure such as Elasticsearch, OpenSearch, or FAISS.
- Experience building customer-facing search or recommendation systems, or working on query understanding, embeddings, LLM-powered retrieval, or hybrid search.
Pay
$180,000-$270,000 USD base salary
Tools
Python, Typesense, AWS, Elasticsearch, OpenSearch, FAISS
AI focus
Applied machine learning for information retrieval, ranking, semantic search, query understanding, recommendation, embedding models, and LLM-powered retrieval.
Model-written summary · the original posting is authoritative