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Machine Learning Engineer III Seattle, WA

2 months ago

Seattle, Washington, United States ESR Healthcare Full time
Job Summary

We are seeking a highly skilled Senior Software Engineer to join our Personalization, Recommendation, and Search team at ESR Healthcare. As a key member of our rapidly growing engineering group, you will be responsible for designing and building scalable machine learning platforms that provide a personalized and unique experience for millions of users across the globe.

Key Responsibilities
  • Design and develop complex resilient machine learning systems that operate at scale, serving millions of users.
  • Lead by example, defining best practices and setting high standards for the team and the organization.
  • Collaborate with cross-functional teams to deliver ambitious projects, driving technical excellence and results-oriented outcomes.
  • Develop and maintain scalable, resilient, and distributed machine learning systems and platforms.
  • Expertise in operating machine learning solutions at scale, covering the end-to-end ML workflow.
Requirements
  • 5+ years of experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed machine learning systems and platforms.
  • Proficiency in operating machine learning solutions at scale, covering the end-to-end ML workflow.
  • Expertise with tools and platforms commonly used for end-to-end machine learning (Kubeflow, TFX, Airflow, MLflow,...).
  • Knowledge of Feature Stores (e.g. Feast, Tecton).
  • Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring).
  • Knowledge of batch and streaming data processing techniques.
  • Obsession for service observability, instrumentation, monitoring, and alerting.
  • Strong knowledge of AWS or similar cloud platforms.
  • Expertise with CI/CD tools (CircleCI, Jenkins or similar) to automate building, testing, and deployment of the ML platform and to manage the infrastructure (Pulumi, Terraform or CloudFormation).
  • Basic understanding of ML techniques and algorithms (supervised vs. unsupervised learning, deep learning,...).
  • Familiarity with recommendation and search to personalize the experience for millions of users across millions of items.
  • Masters in Computer Science or related discipline.