Enigma Technologies

Senior Machine Learning Engineer, Match Team

Enigma Technologies$160K — $210K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years experience in machine learning, software engineering, data science, or data-intensive products
  • Strong programming skills in Python and experience with AWS
  • Expertise in information retrieval, ranking systems, NLP/embedding models, or distributed systems
  • Experience with high-scale backend systems, APIs, or data delivery platforms
  • Strong judgment in ambiguous environments with noisy relevance signals
  • Ability to communicate technical concepts to varied audiences
  • Collaborative mindset with ownership and rapid iteration
  • Advanced degree in a quantitative field or equivalent experience

Responsibilities

  • Develop solutions for information retrieval, ranking, and recommendation systems
  • Build and optimize low-latency search APIs and indexing pipelines
  • Evaluate and enhance search technology stack
  • Lead end-to-end research and production efforts
  • Design evaluation frameworks for measuring search relevance and quality
  • Improve query understanding using advanced retrieval techniques
  • Investigate anomalies in search performance and data freshness
  • Collaborate with Product and Engineering teams to enhance user search experience
  • Mentor team members to improve experimentation and system design

Benefits

  • Impactful role shaping customer interaction with data
  • Challenging technical work in cutting-edge search and retrieval systems
  • Significant ownership over research direction and production systems
  • Direct influence on user integration of data into workflows
  • Equity included in compensation packages for all employees
Full Job Description
The Role

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.
What You'll Do
  • 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
What Makes This Role Exciting?
  • Impact: At Enigma, data science and machine learning aren't just used to make product decisions; they are the product. Your work will directly shape how customers find, explore, and trust our data.
  • Technical Challenge: This role spans some of the hardest challenges in search relevance, large-scale retrieval systems, ranking models, APIs, and distributed systems. If you like a technical challenge, this role is for you.
  • Ownership: You'll have meaningful autonomy to shape both research direction and the production systems that power it, including having a strong voice in our tooling and vendor ecosystem.
  • Customer Proximity: Your work will directly influence how sophisticated customers integrate Enigma data into critical workflows and decision-making systems.
Our Ideal Candidate
  • 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
Bonus Points If You
  • 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


Salary Range: $160,000-$210,000

A note on salary ranges: we pride ourselves on paying competitively for our size and industry. Salary is one piece of a total Enigma compensation package that includes additional benefits and opportunities. 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.

About Enigma Technologies

Enigma Technologies is a data management and intelligence company that provides businesses with the tools to interpret and analyze complex data sets. The company's platform allows users to integrate, clean, and analyze data from a variety of sources, including public records, social media, and internal databases. Enigma's clients include Fortune 500 companies, government agencies, and non-profit organizations. The company was founded in 2011 and is headquartered in New York City.
Learn more about Enigma Technologies
Size
100 employees
Industry
Founded
2011

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