Are you an impact-driven engineer with a knack for machine learning, data analysis, and problem-solving? Do you want to contribute to groundbreaking advancements in operating system performance at Apple? If so, we want you to join our team!
As a Machine Learning & Data Scientist focused on OS Power & Performance, you will work on high-dimensional data to generate insights that will directly influence decisions across Apple. This is an exciting opportunity to apply your analytical skills, software engineering expertise, and business acumen to solve complex problems and drive key product developments.
What You’ll Do:
- Analyze High-Dimensional Data: Dive deep into large datasets to uncover meaningful patterns and insights that can drive impactful changes to Apple’s products and services.
- Build Metrics & Models: Produce actionable models, metrics, and simulations that can be used for analysis and to communicate insights across teams.
- Create Analytical Tools: Design and develop ETL processes (e.g., with Python & Spark) and powerful data visualizations (e.g., with Tableau) to translate raw data into actionable insights.
- Collaborate Across Teams: Work closely with cross-functional teams, from engineering to business stakeholders, providing insights that will directly influence business decisions and product development.
- Drive Performance Improvements: Apply your machine learning and data engineering expertise to optimize OS power and performance at Apple, influencing product decisions and driving the future of technology.
What You’ll Bring:
- Quantitative Foundation: A strong background in Computer Science, Electrical Engineering, or related fields, with a solid foundation in mathematics, software engineering, and data analysis.
- Data Engineering & Analytics: Hands-on experience in transforming raw data into valuable insights through practical problem formulation, building of ETL processes, and creating data visualizations.
- Business Acumen & Problem-Solving: Ability to approach complex problems with a deep understanding of the broader business context, and effectively communicate findings to stakeholders.
- Adaptability & Collaboration: Comfortable navigating ambiguity and eager to work in a collaborative environment with diverse teams. Excellent interpersonal skills and the ability to build relationships are a must.
Preferred Qualifications:
- M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or a similar quantitative field.
- Proficiency in Distributed Computing: Experience with technologies such as HDFS, S3, Iceberg, Spark, and Trino.
- ETL and Automation Expertise: Skilled in designing ETL flows and automating/scheduling processes (e.g., Kubernetes, Airflow).
- OS Knowledge: Familiarity with operating systems and experience in OS-level optimizations.
- Cross-Functional Project Leadership: Experience driving complex projects across multiple teams, ensuring alignment and successful outcomes.
- Strategic Insight: Ability to connect data insights to company-wide strategic goals, driving product and business outcomes.
Why Apple?
At Apple, we believe in creating products that empower and enrich the lives of our customers. In this role, you will play a crucial part in making that vision a reality. Not only will you have a direct influence on the performance of Apple products, but you'll also be part of a team that thrives on innovation, creativity, and collaboration.
Compensation & Benefits:
- Base Salary: $115,700 - $204,000 (based on experience, skills, and location).
- Stock Options: Become an Apple shareholder through discretionary employee stock programs.
- Comprehensive Benefits: Enjoy medical, dental, retirement benefits, and more.
- Career Development: Reimbursement for tuition and professional development to support your career growth.
- Bonus Opportunities: Eligible for discretionary bonuses and commission payments.
- Relocation: Potential relocation assistance for the right candidate.
Apple is Committed to Inclusion & Diversity:
We are an equal opportunity employer, taking proactive steps to ensure equal opportunity for all applicants. Regardless of your race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, we welcome you to apply and be part of our inclusive team.
