AIML-Principal Data Scientist, Measurements

Summary

Posted: Nov 1, 2024
Weekly Hours: 40
Role Number:200575618

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Measurement org works with teams across Apple to build platforms, create methodologies, and enable partners to measure, understand, and proactively improve their products. We are looking for an outstanding candidate to become a member of the Measurement team and help own and drive part of our technical portfolio for Apple Intelligence.

Description

We are seeking an experienced engineer, applied ML practitioner or data scientist to own several highly visible initiatives in the Measurement team of Apple's artificial intelligence IN THIS ROLE YOU WILL: - Partner with several engineering groups to build tooling, processes, and methodologies to automatically understand and improve Apple products and services - Engage in research on the development of data collection systems that enable training and evaluation of generative AI systems while preserving privacy. - Partner with the head of the Measurement org to drive several research projects and prototype applications to gauge appropriateness for larger investment - Use LLMs to optimize resource allocation and measure the quality of generative AI models, products, and services. Successful candidates will need to have a passion for user privacy and superb communication skills with an ability to influence at all levels of the organization, from junior engineers to Sr. Directors and SVPs. Creative problem solving, analytical, and deductive reasoning skills are critical for this position. You will be working on multiple unrelated systems each week, so the ability to learn quickly and an excitement for new things is a must. You must be comfortable with ambiguity and a complex cross-functional environment, requiring relentless collaboration and laser focus on outcomes.

Minimum Qualifications

• Experience leading strategic technical projects with multiple stakeholders and directing work of other engineers and/or data scientists or as a technical lead
• Strong collaboration, communication, interpersonal, and organizational skills
• Ability to solve complex problems independently
• Experience with foundation models, including training and evaluation
• Programming experience

Preferred Qualifications

• Passion for customer privacy
• Ph D in Statistics, Biostatistics, Computer Science, Machine Learning, or equivalent experience

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 $207,800 and $378,700, 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.