Apple

About Apple

The personal technology company redefining user experience

🏢 Tech, Hardware👥 1001+ employees📅 Founded 1976📍 Cupertino, CA4.2
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Key Highlights

  • Market cap of $3 trillion as of 2022
  • Over 1 billion active devices worldwide
  • Comprehensive medical plans including mental healthcare
  • Paid parental leave and gradual return-to-work program

Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...

🎁 Benefits

Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...

🌟 Culture

Apple's culture emphasizes an obsessive focus on user experience and consumer privacy, setting it apart from competitors. The company promotes inclusi...

Overview

Apple is hiring a Senior Data Scientist for their Evaluation team to drive product impact through measurement and evaluation. You'll work with large data sets and collaborate with engineering teams to improve search quality. This role requires expertise in data analysis and machine learning.

Job Description

Who you are

You have 5+ years of experience in data science, with a strong focus on evaluation methods and product impact — you've successfully driven product decisions through rigorous data analysis and insights. Your expertise in Python and SQL allows you to work effectively with large, complex data sets, and you are comfortable applying advanced analytical methods to solve non-routine problems.

You are skilled in machine learning techniques and have experience in building and evaluating models — your background includes working with user-facing products and understanding the metrics that matter for product development. You thrive in collaborative environments, partnering closely with engineering teams to translate methodological developments into actionable technologies.

Your strong analytical skills are complemented by your ability to communicate insights clearly to stakeholders — you can present complex data in an understandable way, advocating for necessary changes in product development based on your findings. You are passionate about improving user experiences and are driven by the impact your work has on millions of users globally.

Desirable

Experience with prompt engineering and building large language models (LLMs) is a plus — you understand the nuances of evaluation in AI and machine learning contexts. Familiarity with data visualization tools will enhance your ability to present insights effectively.

What you'll do

In this role, you will research and develop evaluation methods to enhance the quality of Apple user-facing products, such as Siri and Apple Intelligence. You will collaborate with evaluation and experimentation engineering teams to ensure that your methodological developments are effectively integrated into the technologies used by product engineering.

You will conduct comprehensive analyses that include data collection, quality control, and requirements specification — your work will involve building and prototyping analysis pipelines iteratively to provide insights at scale. You will develop a deep understanding of product data structures and metrics, advocating for changes that support product development.

Your responsibilities will also include partnering closely with product engineering teams on core machine learning algorithms and user experience evaluations — you will play a key role in guiding product development decisions through principled evaluation and rigorous use of data.

What we offer

Apple offers a dynamic work environment where you can make a significant impact on products used by millions. You will have the opportunity to work with cutting-edge technologies and collaborate with talented teams across the organization. We encourage you to apply even if your experience doesn't match every requirement — your unique perspective could be a valuable addition to our team.

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