Profile cover
L

AI Data Domain Classification Engineer

Lyrex Data

Remote · $100k – $130k / year · Full-time · Posted 4 months ago

No longer accepting applications

This role is no longer accepting applications

Don't miss the next role like this

Create a free profile with your skills. We match you to new AI roles as they open, and companies hiring can contact you directly.

Create free profile, 2 minutes

Similar open roles you can apply to now:

See all open AI jobs

About the role

Lyrex Data's platform is used by data governance teams at enterprise companies to manage their data catalog. One of the most persistent pain points: nobody agrees on how to classify data assets into business domains, and the manual tagging process is inconsistent and incomplete. We're solving that with ML. In this role, you'll build the classification models that automatically assign data assets to business domains (Finance, HR, Product, Marketing, etc.) based on schema metadata, column names, sample values, and lineage context. You'll evaluate model accuracy against human-tagged gold sets, build the active learning loop that surfaces uncertain classifications for reviewer correction, and own the retraining pipeline. You'll work in a structured cross-functional squad with data platform engineers and product designers. Clear sprint ownership, fortnightly releases, and direct feedback from clients who use the classification feature are part of the everyday workflow. Mid-level with a 12-month path to senior.

Fully remote.

Responsibilities

  • Build multi-class classification models for data asset business domain assignment
  • Develop active learning pipeline that surfaces low-confidence classifications for review
  • Own the retraining pipeline triggered by reviewer corrections
  • Collaborate with data engineers to enrich classification features from lineage metadata
  • Report model accuracy metrics to product team in monthly model review

Requirements

  • 3+ years data science or ML engineering experience
  • Strong Python and SQL skills
  • Experience building text or metadata classification models
  • Familiarity with data catalog or data governance concepts is a plus
  • Experience with Apache Spark for large-scale feature computation

Benefits

  • Fully remote
  • Health, dental, and vision insurance
  • Clear career growth path
  • $2,000 annual learning budget
  • Home office equipment allowance

Keep exploring related roles

Use these topic pages to discover more roles in the same hiring cluster.

Categories

Data Science & Analytics MLOps & AI Infrastructure

Skills

python sql scikit-learn pandas spark

Related remote AI jobs

Nearby roles that share similar skills, categories, or hiring intent.

Browse all jobs

Sr. Solutions Architect - Travel and Hospitality

Databricks

Full-time Senior

Revenue Operations Manager

Handshake

Full-time

Materials Lead

Lambda

Full-time Lead

Senior Data Engineer, Data Analytics

Agility Robotics

Full-time Senior

Senior Security Engineer - Detection & Response

Lambda

Full-time Senior

Lead/ Senior Machine Learning Scientist, Integrative Phenotyping

insitro

Full-time Lead

Job Type

Full-time

Level

Mid-Level

Language

English

Salary Range

$100k – $130k / year

AI Expertise

Data Science & Analytics MLOps & AI Infrastructure

Skills

python sql scikit-learn pandas spark

Ready to apply for this role?

Create a free talent account.

  • Find AI roles in one place
  • Get AI-matched job recommendations
  • Reply to companies that message you
  • Build your public AI talent profile
Create free account & apply Log in

This role is closed. Create your free profile to apply to similar open roles.

Don't miss the next one: get matched to new roles like this.

Create free profile