Staff ML Engineer - Production Models & Retrieval

Goatgroup; United States; On-site; USD 159,100 - 233,800; Full time

Benefits offered by this job

401K

Paid time off

Dental

Medical

Vision

Disability insurance

Life insurance options

Job summary

GOAT Group is seeking a Staff Machine Learning Engineer to architect and own end-to-end ML systems powering search, ranking and recommendations across our marketplace. You’ll manage production pipelines from training to deployment with a focus on reliability and scalable infrastructure.

Collaborating with data science, data engineering, product and backend teams, you will set technical standards, evaluate infra decisions, and ensure models remain healthy through monitoring and retraining in a

Qualifications

• 7+ years of engineering experience with production ML systems.
• End-to-end ownership: training pipelines through deployed inference.
• Advanced knowledge of ML/AI and their ecommerce applications.
• Strong proficiency in Python; SQL; DBT; Airflow or similar.
• Experience with ranking, retrieval, or recommendation systems.
• Expertise with ML lifecycle tooling (experiment tracking, model versioning, drift detection).

Responsibilities

• Own the full lifecycle of predictive models in production — architecture, training pipelines, inference, deployment and model health.
• Build and operate systems that route model outputs into live product surfaces (search, recommendations, feeds).
• Establish and maintain model monitoring, drift detection, and retraining cadences.
• Partner with Data Science, Data Engineering, Product, and Backend teams to move work from validated approach to production system.
• Decide on whether to leverage ML infrastructure from GOAT Group or build in-house solutions.
• Contribute to ML infrastructure decisions — serving architecture, feature computation, and orchestration.
• Set technical standards for ML systems across the pod.

Skills

Python

SQL

DBT

Airflow

Ranking systems

End-to-end ownership

ML lifecycle tooling

Tools

Experiment tracking

Model versioning

Pipeline orchestration

Drift detection

Cloud data warehouse

Search/retrieval systems

Job description

GOAT Group is seeking a Staff Machine Learning Engineer to architect and own end-to-end ML systems powering search, ranking and recommendations across our marketplace. You’ll manage production pipelines from training to deployment with a focus on reliability and scalable infrastructure.

Collaborating with data science, data engineering, product and backend teams, you will set technical standards, evaluate infra decisions, and ensure models remain healthy through monitoring and retraining in a