AIML - Senior Engineering Lead, ML Systems Evaluation Engineering

SummaryPosted: Role Number:200572316Do you want to play a part in building groundbreaking technology for large-scale systems, natural language, big data, and artificial intelligence? Join the AIML team at Apple and help us improve the user experience of Siri and other AIML products, helping millions of people get things done across the globe!DescriptionIn this senior leadership role, you will be pivotal in aligning ML Systems Evaluation Engineering team priorities and methodologies and ensuring the optimal execution of evaluation and testing for AIML products and components. Our goal is to deliver offline automated evaluation insights that drive models, product development, and improvements 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 highly personalized user experiences. You will provide strategic oversight, be a key liaison for our partners, and optimize team performance while driving a culture of innovation and improvement. You will also have oversight and communications for release qualification readiness for all client milestones to ensure we maintain high-quality standards while fostering accountability and transparency. 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 QualificationsMinimum of 8+ years of experience in engineering leadership rolesProven and consistent track record of forming senior partnerships to solve complex technical problems at scaleStrong interpersonal and leadership skills with experience managing cross-functional teams.Ability to build strong relationships, influence decision-making, and drive projects in a fast-paced environment.Experience with SVP-level presentations and reportingPreferred QualificationsMS in Machine Learning, Computer Science, or a related field.Passion for product and customer experienceData-driven mindsetShown aptitude for leading a breadth of product areas simultaneouslyStrong understanding of AI/ML concepts and familiarity with AI testing methodologies, data validation, and model performance metricsExperience with cloud-based infrastructure and tools (like Jenkins, AWS) and continuous integration pipelinesPay & BenefitsAt 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 $252,400 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.