AIML - Director of Engineering

Key Skills

Aartificial intelligence, Leadership Skill, Machine learning techniques, Planning and organization

Job Description

In this senior leadership role, you will define our model evaluation strategy, and determine and develop appropriate methodologies, to enable hill climbing. Our goal is to deliver offline evaluation insights that drive model development and improvements with wins for our end-user experience, all while upholding the privacy standards that Apple is known for. With the advent of Apple Intelligence, we are facing novel challenges in developing representative datasets and simulations for delivering a highly personalized user experience. Utilizing personal context presents specific challenges to delivering accurate responses to every user, demanding innovative evaluation solutions. These models power the next generation of Siri and Apple products, and you will be part of this exciting journey.

As the senior team leader, you will cultivate collaboration with your peers and partners across AIML and Apple. Your leadership will be instrumental in fostering a culture of continuous improvement and taking state-of-the-art evaluation solutions to Apple partners while learning from them.

Minimum Qualifications

• Minimum of 5+ years of senior leadership experience
• Experience with Machine Learning development and evaluation
• Experience with building and shipping products at scale
• Proven and consistent track record of forming senior partnerships to solve complex technical problems at scale, ideally for products with a global customer base
• MS/PhD in Machine Learning, Computer Science, or equivalent experience in a related field

Preferred Qualifications

• Passion for product and customer experience
• Shown aptitude for leading a breadth of product areas simultaneously
• Extensive experience delivering large-scale product or platform outcomes, leveraging cross-functional partnerships
• Proven record of gaining technical expertise on the job; demonstrates the ability to learn new technologies independently.
• Excellent understanding of an ML-based product lifecycle.
• Demonstrated depth of knowledge and application of statistics-based evaluation methodologies or user success metrics.
• Experience with systems engineering; in-depth understanding of interdependencies of ML and SW components.
• Proven innovation record
• Experience leading a team of senior engineers
• Ability to develop a long-term vision and execute strategies at scale while maintaining a grasp of technical details for better decision-making
• Experience delivering or supporting products across multiple organizations, establishing cross-functional partnerships
• Experience with SVP-level presentations and reporting

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 $282,000 and $450,500, 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.