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Staff Machine Learning Engineer

1 hour, 45 minutes ago
United States, Canada
Full-time
Lead
Machine Learning Engineer
Software Development
Apache Airflow AWS CI/CD CRM Datadog dbt Deep Learning GitHub Actions Kotlin Kubernetes Linear Machine Learning MLflow MLOps MySQL Pandas Python PyTorch React Ruby Ruby on Rails Scikit-learn Shopify Sidekiq Snowflake Swift System Design Terraform TypeScript XGBoost
Apply Now
Babylist

Babylist

Babylist is the ultimate universal baby registry and marketplace, simplifying baby gear shopping with expert guidance and community support.

Internet Software & Services
251-1K
Founded 2011
$41M raised
View All Jobs 12

Description

  • Set the technical and product direction for Babylist’s personalization domain.
  • Take ambiguous business problems from initial definition through production deployment and measure customer impact.
  • Build and maintain custom embeddings and foundational representations from raw data.
  • Make cross-team modeling and architecture decisions, including choices that are costly to reverse.
  • Own the full model lifecycle, including orchestration, deployment, monitoring, and retraining.
  • Define AI personalization quality standards and build evaluations to identify model failures before release.
  • Partner with product, design, and data teams to shape priorities and solutions.
  • Coach senior engineers through complex technical and product decisions.
  • Develop shared personalization systems for feeds, recommendations, search, and customer identity resolution.
  • Stay hands-on with challenging machine learning and systems engineering work.

Requirements

  • Staff-level experience shipping production machine learning systems.
  • Experience building recommender systems or personalization products used at scale.
  • Proven ability to measure and demonstrate customer or business impact from machine learning.
  • Strong Python machine learning expertise, including pandas, scikit-learn, XGBoost, and PyTorch.
  • Experience across the complete ML lifecycle, including orchestration, deployment, monitoring, and retraining.
  • Expertise building custom embeddings or representations from raw data rather than relying solely on pretrained models.
  • Experience with retrieval, ranking, deep learning, or matrix factorization.
  • Ability to independently define ambiguous problems, architect zero-to-one solutions, and own them end to end.
  • Experience influencing technical direction across teams and mentoring senior engineers.
  • Familiarity with AWS SageMaker, MLflow, Snowflake, Airflow, Weaviate, or similar tools is preferred.

Benefits

  • US base salary of $233,500–$290,700, with a 20% target annual bonus.
  • Target total cash compensation of approximately $280,200–$348,840, plus meaningful equity.
  • 401(k) match.
  • Company-paid medical insurance and fully covered dental and vision insurance.
  • Generous paid parental leave and a gradual return-to-work program.
  • Remote-first work across the US and Canada, with a remote-work stipend.
  • Paid Winter Wonder Week company-wide shutdown.
  • Mental-health and wellness support.

Interested in this position?

Apply directly on the company website

Apply Now

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