Summary

Posted: Oct 4, 2024

Role Number:200571307

The Siri Attention and Invocation Data team is in search of a curious and innovative team player who is passionate about building and innovating our data strategy. Our team is responsible for all aspects of generating datasets to improve and innovate our user experiences. Join Apple and help us leave the world better than we found it!

Description

You will be a core contributor on the development of our data pipeline and management systems, as well as spearheading innovative approaches to improving different aspects of our data. Your responsibilities will include: • Working closely with other teams to understand their needs and propose ways to address them, translating them into data products, workflows and services. • Architect solutions for taking our pipelines, workflows and data management and exploration to the next level. • You will play an active role in the future roadmap of our data strategy, by designing and implementing the next generation to improve data quality, cost-effectiveness, monitoring, traceability and introspection. • Collect requirements and engage stakeholders from different teams, and to bring into production complex cross-functional projects.

• Strong software engineering skills, including being fluent in Python.
• Attention to detail and creative problem-solving: Do you dig into the data to troubleshoot a problem?
• You have 4+ years' professional experience in data engineering and data pipelines.
• You have 4+ years' professional experience in system design and architecture.
• You have 4+ years' professional experience leading complex projects and teams of engineers.
• You have 4+ years of hands-on experience building reliable, scalable Data Pipelines with Python in a scalable cloud environment (AWS, etc).
• Familiarity with some of the following: Postgres, Presto, REST API development, Spark, cloud development, numpy, pandas, to name a few.
• Strong technical communication (both written and verbal), prioritization, and time management skills. Strong interpersonal skills to work both with your team and others.
• Familiarity with Machine learning dataset development lifecycle.
• Bachelor's Degree in Computer Science, an engineering-related field, or equivalent related experience.

• Experience with data quality assessment and monitoring a plus.
• Experience with human annotation / labeling a plus.
• Experience with speech domain machine learning a plus.

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 $175,800 and $312,200, 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.

• 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. Learn more about your EEO rights as an applicant.