Staff/Senior Machine Learning Engineer, Match Team
Company websiteenigma.com (Enigma, opens in new tab)
Base salary $180K to $270K
Employer-published annual base salary, USD. Advertised base range in New York, NY +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationNew York, NY +1 more
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (28 min ago) · observed since
All places named
- New York, NY
- Los Angeles, CA
About this job
The Opportunity
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/Staff 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.
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/Staff 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
About Us
Enigma provides authoritative answers about business entities for agentic and automated workflows. By leveraging an industry leading business entity resolution model to link thousands of bespoke public and private datasets, Enigma enables agents and workflows to fully understand the relationship and connections between legal entities, brands, locations, and the owners. It means a search for a single record returns complete information about that business and the full network around it. The company is known for Enigma for AI and Enigma for Workflows (KYB, risk, fraud, underwriting, payments and go-to-market).
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.
Salary Range: $180,000-$270,000
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.
Source: Enigma on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($180,000) is above 41% of the 1,514 Data & ML roles in California listed on this site; 56 others list the same floor. Their median floor is $187,500; the middle half runs from $159,200 to $229,375.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingStaff/Senior Machine Learning Engineer, Match Team$180K to $270K
Senior Software Engineer, Growth & KYB Team$180K to $240K
Staff/Senior Data Scientist, Entity Resolution Team$180K to $270K
Senior Software Engineer, Match Team$180K to $240K
Senior Software Engineer, API and Data Delivery$180K to $240K
Senior Designer, Marketing & GTM$175K to $210K
Senior Data Acquisition Analyst$175K to $225K
Chart as a table
| Role | Published base |
|---|---|
| Staff/Senior Machine Learning Engineer, Match Team (this listing) | $180K - $270K |
| Senior Software Engineer, Growth & KYB Team | $180K - $240K |
| Staff/Senior Data Scientist, Entity Resolution Team | $180K - $270K |
| Senior Software Engineer, Match Team | $180K - $240K |
| Senior Software Engineer, API and Data Delivery | $180K - $240K |
| Senior Designer, Marketing & GTM | $175K - $210K |
| Senior Data Acquisition Analyst | $175K - $225K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-04-10
Where this pay comes from
Location as the employer wrote it: New York, NY or Los Angeles, CA
Salary Range: $180,000-$270,000
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
