AI/ML — Data Engineer, ML Innovation

Key Skills

Aartificial intelligence, Apache Hadoop, Apache Kafka, Data Engineering, Java Programming, Machine learning techniques, NoSQL, Python Programming, Scala Programming, SPARK Programming, SQL

Job Description

We are looking for an experienced software engineer to build Machine Learning & Experimentation platforms to empower Apple engineers in delivering great user experiences. We are addressing key challenges to accelerate the adoption of ML across all the OSes and Apple products/services operating at the scale of 1+ billion devices. Our work is complex, challenging and highly visible. Collaborate with ML and OS engineers to build data applications that provide reliable and timely insights for Apple's most exciting applications & services. Does this interest your creative and development chops? If so, come join our team!

Key Qualifications

• Experience in building large scale data processing and distributed systems using technologies like like Spark/Kafka
• Hands-on experience with managing and monitoring data collection and analytics pipelines at the application level
• Experience with SQL / NoSQL databases
• Experience with Object oriented programming languages like Java / Scala / Python
• Experience with Kubernetes or similar technologies
• Working knowledge of Trino
• Experience with Log processing and mining frameworks like Splunk, Prometheus, etc
• Experience with deploying and managing CI pipeline with Jenkins or similar tools
• Experience with Machine Learning platforms is a plus

You will be responsible for designing and building data applications to enable on-device and device/server side combined ML workflows. For example, build data service to analyze telemetry from billions of devices in a timely fashion and deliver data-driven insights to inform product launches. In this role, you will collaborate with cross-functional partners, customers across Apple to build platform roadmap for next 2-3 years.

Education & Experience

• BS in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience.

Additional Requirements

• Experience with Machine Learning platforms is a plus
• Experience with A/B Testing is a plus

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $131,500.00 and $243,300.00, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.