AIML - Sr. Director of ML Engineering and Innovation
Would you like to play a part in shipping groundbreaking technology for large-scale language models and artificial intelligence? Join the AIML team at Apple! We interact with various engineering teams across Apple to build, research, and apply LLMs to power our products and impact millions of users.
As a senior leader, you will play a critical role in driving Apple's post-training strategy across various LLMs and product areas. This includes leading efforts in instruction tuning, reinforcement learning from human feedback (RLHF), preference optimization, and model alignment to ensure our models are helpful, safe, and performant in real-world applications. In this role, you'll drive roadmaps, propose your own research agenda to advance post-training methodologies, and directly shape the behavior and quality of Apple's generative models. You'll provide technical mentorship and guidance to the team, drive execution, and collaborate broadly across Apple.
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Description
We believe the most interesting and impactful problems in AI arise at the intersection of research and real-world deployment - and post-training is where that intersection is sharpest. You will work with a close-knit and fast-growing team of world-class engineers and scientists to tackle some of the most challenging problems in aligning and improving foundation models, including instruction following, reward modeling, human preference learning, and evaluation of model behavior across diverse product use cases. You will have opportunities to identify and develop novel post-training techniques that directly improve Apple products meaningfully improving the experience of millions of users.
Preferred Qualifications
Post Training expertise
Web-scale information retrieval
Human-like conversation agent
Multi-modal perception for existing products and future hardware platforms
On-device intelligence and learning with strong privacy protections
Minimum Qualifications
5+ years of executive leadership experience
Demonstrated expertise in bridging the gap between research and product innovation
PhD, or equivalent practical experience, in Computer Science, or related technical field.
Proven and consistent track record of forming partnerships to solve complex technical problems at scale, ideally for products with a global customer base
MS/PhD in Machine Learning, Computer Science, or a related field
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 .
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 $305,000 and $487,200, 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.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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