Software Development Engineer – Data

Summary

Posted: Sep 12, 2024

Weekly Hours: 40

Role Number:200567440

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Description

APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Designing and implementing advanced statistical algorithms to run at scale for experimentation with focus on marketing, Machine Learning (ML), model evaluation and product improvement. Designing and presenting documentation and training courses for the principles and practices of AB testing. Adopting and designing experiments in the complex Artificial Intelligence (AI) based linguistic/assistance space by partnering with product and engineering teams. Conducting analysis by using data-querying skills in both on-client and server data bases such as Swift, SQL, and Python. Partnering with product data scientists and engineering teams on their experiments. Training product data scientists and engineering teams on the logic and requirements for successful testing. Working closely with A/B Experimentation Platform Engineering to ensure the platform is tuned correctly. Understanding Siri by conducting and analyzing AB tests. Use statistical analysis of structured data to deepen our understanding of how hundreds of millions of people use Siri across an array of products. Investigate world-wide product usage to identify weaknesses and opportunities to make the product better. Define metrics and design A/B tests with instrumentation to assess the success of new features. Build relationships with Engineering leads and product partners across the Siri product ecosystem to drive a privacy-first strategy for analytical insight. Employ a diverse toolkit of rigorous analytical approaches, methodologies, frameworks, and technical strategies to uncover opportunities to improve Siri. 40 hours/week. 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 – $264,200/yr and your base pay will depend on your skills, qualifications, experience, and location. PAY & BENEFITS: 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: https://www.apple.com/careers/us/benefits.html. 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 Employment Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities.

Minimum Qualifications

• Bachelor’s degree or foreign equivalent in Statistical Science, Data Science, Mathematics, or related field and 4 years of experience in the job offered or related occupation.
• 3 year of experience with each of the following skills is required:
• Designing complex experimentation use cases
• Statistical analysis with hypothesis testing, confidence interval, or linear/non-linear regression
• Use SQL to analyze and extract insights from terabytes of user behavior data
• Processing and analyzing complex experimentation scalable data using Python
• Utilizing Machine Learning to identify patterns in complex experimentation and observational study data
• Utilize artificial intelligence to create documentation for experimentation
• Leveraging AI/ML (e.g., LLM, RLHF) and data engineering (e.g., Airflow) techniques to automate analytics workflows and enable scaling

Preferred Qualifications

• N/A