Grailed

Staff Machine Learning Engineer

Remote US · Staff+

Sponsorship not specified$187k-$234kDetected 2 days ago

PythonSQLMachine LearningAirflowdbtData EngineeringData ScienceNLPMLOpsOnboarding

About the role

Our data sits at the center of a complex peer-to-peer marketplace, and the ML layer is what turns a decade of behavioral signals into better search, smarter recommendations, and a marketplace that gets sharper over time.
The strongest candidates will bring production instincts alongside technical depth: the kind of engineer who isn't done when the model trains, and who treats monitoring, retraining, and reliability as part of the job, not a follow-on task.

Build and operate the systems that route model outputs into live product surfaces: search ranking, recommendations, feed ordering, and related user-facing experiences
Establish and maintain model monitoring, alerting, drift detection, and retraining cadences - the feedback loops that keep deployed models accurate over time
Partner closely with Data Science, Data Engineering, Product Management, and backend engineering to move work from validated approach to production system
Own the decision-making process on whether to leverage ML infrastructure & expertise from our parent company, GOAT Group, and when to advocate for building in-house solutions.
Rowe Price Associates, Inc., Franklin Templeton, Adage Capital Management, Ulysses Management, D1 Capital Partners, Accel, Andreessen Horowitz, Index Ventures, Matrix Partners, Upfront Ventures, Webb Investment Network and Y Combinator.
Communicates clearly with non-technical partners - can translate model behavior, tradeoffs, and timelines into terms that product and business stakeholders can act on
Genuine curiosity about the domain - fashion, resale, taste - and the specific ML problems it creates

Experience with semantic enrichment, NLP, or multi-modal ML in a production context
There are no wrong answers - we actually read all of these.
GOAT Group uses geographic pay tiers based on the employee's home state to align compensation with market differences across the U.S.
Tier 1 (Includes states such as California, New York (including New York City), Washington, Illinois and other higher-cost markets)
Tier 2 - (Includes mid-cost markets across the U.S.)
You may reach out to a recruiter for additional information.
GOAT Group represents the leading platforms for authentic sneakers, apparel and accessories.
Operating four distinct brands-GOAT, Flight Club, Grailed and alias-GOAT Group has a global community of more than 60 million members across 170 countries.

7+ years of engineering experience, with substantial depth in production machine learning systems.
Demonstrated end-to-end ownership: training pipelines through deployed inference, not just modeling.
Advanced knowledge of ML, AI and statistical models, as well their application in e-commerce settings.
Strong proficiency in Python; SQL; DBT; airflow or similar.
Solid software engineering fundamentals.
Experience with ranking, retrieval, or recommendation systems.

Treats model health as a permanent responsibility, not a launch milestone
The hiring range for this position is below, plus benefits (401K, paid time off, dental, medical, vision, disability, life insurance options).
Own the full lifecycle of predictive models in production - architecture, training pipelines, inference infrastructure, deployment, and ongoing model health

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