Enigma

Senior/Staff Machine Learning Engineer, Match Team

New York, NY or Los Angeles, CA · Staff+

Sponsorship not specified$180k-$295kDetected 9 days ago

PythonDistributed SystemsElasticsearchAWSCloud PlatformsMachine LearningData ScienceNLPLLMsA/B TestingResearch

About the role

This is a critical and exciting time at Enigma.
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/Staff Machine Learning Engineer to join our Match Team and help shape the next generation of Enigma's customer-facing data products.

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
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

Has strong programming proficiency in Python and experience operating within cloud environments (AWS preferred)
Has an advanced degree in a quantitative discipline or equivalent deep industry experience
Have deep experience with our core stack (Typesense, Python, AWS) or similar retrieval infrastructure (Elasticsearch, OpenSearch, FAISS)

$180,000-$295,000
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.

Brings 5+ years of experience across machine learning, software engineering, data science, or data-intensive product systems
Impact: At Enigma, data science and machine learning aren't just used to make product decisions

At Enigma, we're building the single, most reliable source of data on businesses to power the future of financial services.
By engineering better data from hundreds of public and third-party sources, we aim to tell the complete story of every business, so that companies of every size can access the financial services they need to grow and thrive.
Our core values - generosity, curiosity, ingenuity, & drive - guide everything we do, from how we make our most important product decisions to how we work with and support one another on a daily basis.
We're a team of curious, driven individuals with diverse backgrounds and skills, but we're all passionate about engineering deeper understanding through data-together.
If this resonates, we would love to hear from you!
We are proud to be an equal opportunity workplace and an affirmative action employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
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.
Our customers consistently tell us that our data products create tremendous value and are deeply aligned with their most important workflows.
they are the product. Your work will directly shape how customers find, explore, and trust our data.

al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status

This listing is sourced directly from Enigma's careers page and normalized into a canonical job model.