Apple is looking to leverage breakthroughs in AI/ML and robotics to unlock new experiences for its products and platforms, and requires ML data engineers to realize this mission.
Requirements
- Proficiency in SQL and Python
- Familiarity with modern data platforms and ML ops tooling (Spark, Kubeflow, Weight & Bias)
- Experience working with large-scale data pipelines
- Experience building datasets for ML systems
- Experience working with multi-modal foundation models
- Familiarity with robotic algorithms
- Familiarity with modern ML approaches
Responsibilities
- Define data acquisition strategies to align with program goals.
- Define data requirements in partner with cross functional teams
- Design and implement tools for monitoring, alerting, and health checking to ensure sustained data and model performance at scale
- Own data operations and ensure data delivery on time with the required quality
- Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making
- Experience working with large-scale data pipelines
- Experience building datasets for ML systems
Other
- Minimum of 3 years relevant industry experience
- Experience in data operation, budgets, vendors, or external partnerships
- Experience leading and mentoring engineering teams
- B.S. in Computer Science, Math, Machine Learning, Robotics, or related fields.
- M.S. or Ph.D. in related fields.
