#200577023-2
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 " 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