Job Details

AIML - Sr. Director of Machine Learning Applied Research Data ML Innovation-Engineering

Cupertino, California, United States

Machine Learning and AI

Summary

Posted: Aug 24, 2024

Role Number: 200565053

The Data and Machine Learning Innovation team focuses on innovative technologies,
methodologies, and research to enable amazing user experiences and advance the frontier of
machine learning at Apple. The team works broadly with Machine Learning teams across the
company to advance capabilities. This role is highly multi-functional, and you will collaborate
very closely with various highly skilled machine learning and software development teams to
develop groundbreaking research and solutions for Apple products.

Description

We are looking to hire a senior technical leader with a strong record in leading applied research
teams. You will lead and grow an organization accountable for building machine learning
technologies to enable breakthrough experiences that make a real difference in the lives of
hundreds of millions of users.

As a senior technical leader, you will:
•lead teams of machine learning and software engineers to research, build and deliver AI
technologies that enable AI-driven customer-facing products and features.
•work cross-functionally on a diverse set of exciting problems, collaborate with world-
class software and machine learning engineers and researchers to impact the future of
Apple products.
•lead research portfolio, help identify long-term ambitious research goals as well as
intermediate milestones, prioritize research that can be applied to Apple’s product
development.
•build and grow inclusive, high-functioning, diverse teams.

Minimum Qualifications

• • 10+ years of combined management and professional experience in machine learning, research, and software engineering, and a proven record in running an applied research organization with product impacts

• • Strong organizational skills and experience working with large cross-functional and diverse teams

• • Excellent problem solving, critical thinking, and communication skills

• • Experience in scientific computing, high-performance computing, applied machine learning, or deep learning

• • Strong in computer science fundamentals, software engineering principles and development methodologies

Preferred Qualifications

• • Experience with incubation, development and deployment of machine learning technologies into products

• • Ability to take ambiguous ideas from inception to deployment

• • Experience with setting and executing innovation strategies at both technical and organizational levels to drive research directions and business objectives.

• • MS/PhD in Computer Science or equivalent

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 $349,000 and $558,700, 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. (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 opportunity employer that is committed to inclusion and diversity. We seek to promote 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.