Summary Posted: Sep 9, 2024Weekly Hours: 40 Role Number: 200566832 Apple Services Engineering (ASE) powers many AI and LLM features across App Store, Music, Video and more. We believe that to build exceptional LLMs you need exceptional human beings to train them. Humans are essential in providing the best training data for these models, and ASE operates a large network of humans across the world to provide this training data. As the Head of Data Quality Operations in the Human-centered AI org, you will be responsible for ensuring that our training data quality is as useful for customers as possible. You will own ideating what high-quality training means and looks like across various projects, driving thought leadership with our customers about data quality, developing the entire annotator training program, creating our “golden datasets” to programmatically evaluate annotators, and scaling data collection via machine learning or LLM methods.Description The role involves a combination of critical thinking, data analysis, roll-up-your-sleeves operations, and cross-functional collaboration. The ideal candidate has a strong entrepreneurial demeanor, is comfortable leading a team and working with them under ambiguity at a high velocity, and can make things happen.WHAT YOU'LL BE DOING: Create and scale a data innovation team to use industry standard methods to ensure annotation quality and increase data value via machine learning or AI methods. Key Collaborator in planning/design/implementation and testing of annotation tooling. Own communication and thought leadership around data quality with key customers and collaborators. Lead a global workforce of over a thousand annotators including a data science team and a data quality assurance team. Work with project teams to understand the nuances and challenges of developing good training data, come up with perspectives on how those edge cases should be handled, and relay that perspective to our customers. Work with linguists, annotators, academics, and researchers to ensure ASE stays at the forefront of the definition of data quality. Supervise the training materials and curriculum for our entire annotator base. Supervise the creation of our “golden datasets” to ensure we have a quality signal on our annotators in a scalable way. Minimum Qualifications: PhD. or equivalent experience with focus on applied machine learning. 7+ years of overall relevant experience with 5+ years of experience in Management/leadership roles. Strong communication skills both written and verbal. Experience with executive-level communication. Preferred Qualifications: 3 years of demonstrated ability with LLMs. Experience in creating datasets from scratch and repurposing/reannotating. Excited to solve ambiguous problems. A relentless attitude of testing and iterating. 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 $200,400 and $358,200, 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. More 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. #J-18808-Ljbffr