Staff ML Engineer, Personalization at Scale

Babylist; Ottawa; On-site; CAD 140,000 - 210,000; Full time

Benefits offered by this job

Paid holidays

Paid time off

Parental leave

Flexible benefits

Health coverage

Store discount

Job summary

Babylist in Ottawa is seeking a Staff MLE for the Discovery team to own recommendations and personalization across the consumer experience — homepage feed, product recs, search, and the ML-powered systems that make registry building effortless.

You will set the technical direction for personalization at scale, collaborate with PMs and engineers, and drive end-to-end model development from sketch to production, focusing on business impact and measurable improvements.

Qualifications

• Shipped recommendation and personalization systems at scale with measurable business impact.
• Experience in production ML, including offline/online evaluation.
• Fluency with Python ML stack and deployment/monitoring.

Responsibilities

• Own discovery personalization direction from sketch to production.
• Set modeling/architectural direction across surfaces.
• Design offline and online evaluation to validate models.
• Collaborate with product, design and data teams.
• Coach engineers and be a ML expert across the org.

Skills

Recommender systems

Personalization at scale

Python ML stack

Model deployment

A/B testing

Cross-functional collaboration

Tools

AWS SageMaker

MLflow

Kubernetes

Weaviate

dbt

Job description

Babylist in Ottawa is seeking a Staff MLE for the Discovery team to own recommendations and personalization across the consumer experience — homepage feed, product recs, search, and the ML-powered systems that make registry building effortless.

You will set the technical direction for personalization at scale, collaborate with PMs and engineers, and drive end-to-end model development from sketch to production, focusing on business impact and measurable improvements.