Senior/Staff Machine Learning Engineer (Match Team)

Join Enigma, a data-driven company that is revolutionizing the way customers access and utilize data. As a Senior Machine Learning Engineer on the Match Team, you will play a critical role in shaping the next generation of Enigma's customer-facing data products. You will work on advanced statistical and machine learning research, as well as the engineering systems required to power fast, relevant, and reliable search experiences at scale. This is a high-impact role that offers meaningful autonomy, technical challenges, and direct influence on customer workflows and decision-making systems.

• Lead efforts to improve the relevance, latency, and scalability of customer-facing data products by developing 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, while evaluating and evolving the search technology stack.
• Mentor teammates and help raise the bar for experimentation rigor, system design, and operational excellence, while collaborating closely with Product, Engineering, and client stakeholders to improve search experience and discoverability.
• 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
• Has experience designing, fine-tuning, and operating high-scale backend systems, APIs, or data delivery platforms
• Has an advanced degree in a quantitative discipline or equivalent deep industry experience
• 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 strong programming proficiency in Python and experience operating within cloud environments (AWS preferred)
• Effectively communicates technical concepts and tradeoffs to technical and non-technical audiences
• Brings 5+ years of experience across machine learning, software engineering, data science, or data-intensive product systems
• Brings strong judgment in ambiguous environments where relevance signals and ground truth are noisy or implicit
• Thrives in highly collaborative environments with strong ownership and fast iteration cycles
• Have mentored senior engineers or data scientists and raised the technical bar across disciplines
• Have built customer-facing search or recommendation systems or APIs
• Have worked on query understanding, embeddings, LLM-powered retrieval, or hybrid search systems
• Have deep experience with our core stack (Typesense, Python, AWS) or similar retrieval infrastructure (Elasticsearch, OpenSearch, FAISS)