AIML – Data Infrastructure Engineer, Machine Learning Platform and Technologies Full-Time NEW

Summary Posted: Feb 1, 2023 Role Number: 200211554 The Data Infrastructure team within the AI/ML organization powers analytics, experimentation and ML feature engineering to power Siri and our Apple devices. The mission of the Data Infrastructure org is to provide cutting edge, reliable and easy to use infrastructure for ingesting, storing, processing and interacting with data and help the teams that build data intensive applications be successful. The Data Infrastructure team is looking for engineers who want to bring their passion for infrastructure to build world class infrastructure products. You will build and lead our data infrastructure team and help the members of your team grow both technically and professionally. You will work with many cross functional teams and lead the planning, execution and success of technical projects with the ultimate purpose of improving the experience for Apple customers. Key Qualifications Experience managing Kubernetes clusters, or run distributed applications in Kubernetes environment. Familiar with AWS technologies such as EC2, S3, RDS and IAM. Fluency in Python, Java, or scripting language. Ability to debug complex issues in large scale distributed systems. Passion for building infrastructure that is reliable, easy to use and easy to maintain Excellent communication and collaboration skills Experience with distributed system such as Spark/Flink/Kafka/Cassandra is helpful but not required Description The ideal candidate will have outstanding communication skills, proven data infrastructure design and implementation capabilities, strong business acumen, and an innate drive to deliver results. He/she will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment. Responsibilities will include – Build and operate Apple’s largest data infrastructure supporting millions of Siri users at 100+ PB scale – Scale and operationalize big data technologies like Spark, Kafka, Presto, Flink, Hadoop in both on-premise and AWS environoment – Ensure data infrastructure offers reliable high quality data with consistent SLAs with good monitoring, alerting and incident response and continual investment to reduce tech-debt – Write code, documentation, participate in code reviews, and mentor other engineers Education & Experience B.S., M.S., or PhD in Computer Science, Computer Engineering, or equivalent industry experience Additional Requirements Apple is an equal opportunity employer that is 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. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. 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 $115,000 and $177,000, 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. 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.