Senior ML Data Engineer

Apple’s ML Data Team within the Intelligent System Experience (ISE) group is hiring a Senior ML Data Engineer to build and continuously improve high-quality ML datasets at scale for key Apple product features.

Responsibilities

• Build high quality ML datasets at scale
• Acquire, synthesize, annotate, and ensure the quality of ML data to support numerous features in collaboration with R&D teams across Apple’s SWE organization
• Continuously improve ML data pipelines

Requirements

• 7+ years of industry experience as a data engineer supporting various ML applications (vision domain preferred)
• Bachelor’s degree in Computer Science or related field
• Proven ability to design, automate, and scale large data pipelines (petabyte scale desired) using modern processing technologies (examples: Iceberg, BigQuery, Airflow, Spark)
• Expertise in Python, Go, or another modern programming language, including writing high quality, efficient code and participating in code reviews
• Strong capability to design and lead a technical roadmap, collaborate with cross functional teams with diverse profiles, and influence and build alignment
• Demonstrated experience delivering large scale multimodal datasets for foundation models
• Self-starter who can operate with ambiguity, work in a fast-paced environment, identify risks, mitigate issues, and independently determine the right people and tools
• Proven track record mentoring and growing engineers, raising software engineering excellence in an ML data ops team with short term delivery focus

Technologies

• Python
• Go
• Iceberg
• BigQuery
• Airflow
• Spark

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses, including tuition
• Discretionary employee stock programs, including eligibility for discretionary restricted stock unit awards, and the ability to purchase Apple stock at a discount if voluntarily participating in the Employee Stock Purchase Plan
• Discretionary bonuses or commission payments
• Relocation (if eligible)

Compensation

Base pay range: USD 184,700 - 324,800 per year. Base pay depends on skills, qualifications, experience, and location.