Machine Learning Engineer

2 weeks ago

Seattle, Washington, United States Apple Inc. Full time
Job Summary

We are seeking a highly skilled Machine Learning Engineer to join our team at Apple Inc. as part of our Knowledge Platform group. As a Machine Learning Engineer, you will be responsible for designing and implementing robust, scalable data/ML pipelines capable of processing large datasets while maintaining low latency and high quality.

Key Responsibilities
  • Design and implement large-scale data processing pipelines using cloud-native technologies such as AWS.
  • Develop and maintain micro-service architecture in a containerized environment using Docker and Kubernetes.
  • Work closely with diverse data sources to integrate new knowledge and with engineers from across Apple to deliver knowledge for customer-facing services.
  • Develop tools and tests to ensure quality and help diagnose issues.
  • Collaborate with cross-functional teams to design and implement data-driven solutions.
Requirements
  • Background in computer science with expertise in algorithms, data structures, and distributed systems.
  • Experience working in a cloud-native environment such as AWS.
  • Experience working with large-scale data processing pipelines (Spark, Cassandra, etc.).
  • Experience with micro-service architecture in a containerized environment (Docker, Kubernetes, etc.).
  • Experience with CI/CD pipelines for building, testing, and deploying code (Jenkins, Spinnaker, etc.).
  • Bachelor's, Master's degree in Computer Science or equivalent work experience.
Preferred Qualifications
  • Experience with observability tools for monitoring applications (Prometheus, DataDog, etc.).
  • Experience with Scala and Go is a plus.
  • Excellent interpersonal skills, able to work independently as well as in a team.
What We Offer
  • Comprehensive medical and dental coverage.
  • Retirement benefits.
  • A range of discounted products and free services.
  • Reimbursement for certain educational expenses.
  • Discretionary bonuses or commission payments.
  • Relocation assistance.
Apple is an Equal Opportunity Employer

We are committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

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