Senior ML Engineer, Data Innovation and Operations - Special Projects
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Upload Your ResumeAbout This Role
Join Apple's Data Innovation and Operations team as a Senior ML Engineer to expand the capabilities of Apple products and platforms by leveraging AI/ML and robotics breakthroughs. This role involves defining data strategies, designing monitoring tools, and owning data operations to deliver new experiences.
Responsibilities
- Define data acquisition strategies to align with program goals
- Balance cost, scalability, and quality tradeoffs, and adapt data strategies
- Define data requirements in partnership with cross-functional teams
- Design and implement tools for monitoring, alerting, and health checking
- Ensure sustained data and model performance at scale
- Own data operations and ensure data delivery on time with required quality
- Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making
Requirements
- Minimum of 3 years relevant industry experience
- 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 in data operation, budgets, vendors, or external partnerships
Qualifications
- B.S. in Computer Science, Math, Machine Learning, Robotics, or related fields.
- Minimum of 3 years relevant industry experience
Nice to Have
- M.S. or Ph.D. in related fields
- Experience working with multi-modal foundation models
- Experience leading and mentoring engineering teams
- Familiarity with robotic algorithms
- Familiarity with modern ML approaches
Skills
* Required skills