AIML - Machine Learning Engineer-Adaptive Devices and Platforms

The Adaptive Devices and Platforms Team (ADPT) is looking for an outstanding Machine Learning Engineer who specializes in developing generative AI systems. Are you passionate about incubating and deploying AI-powered technologies and features to millions of Apple users? Our team charter is to prototype next generation capabilities and platforms for new user experiences and/or Apple hardware leveraging the latest advances in multimodal LLMs, agentic reasoning, and optimization. With the rise of foundation models and the promise of Apple Intelligence, our team offers experts in the field an opportunity to apply their skills to enhancing Apple products everyone loves and incubating new products. We're an elite team looking for ambitious, strongly technical and creative problem solvers, but also great teammates. Because of the nature of the work, candidates should be comfortable with uncertainty, taking calculated risks, and failing fast.DescriptionYou will work with a passionate, mission-focused team to conceptualize, rapidly prototype, and ship next-generation technologies and features. To succeed, you must be a proactive and driven problem solver with a proven track record of working across multiple code bases, teams, and organizations. You must enjoy using machine learning to craft transformative new capabilities for Apple products, writing elegant code, and applying innovative new technologies in the service of human-centered design. Overall, this position offers the right person a chance to play a meaningful role in bringing the promise of AI offered by recent advances in generative AI to millions of Apple users in a safe, reliable, and delightful way. It is a chance to “think different” about AI - the Apple way!Minimum Qualifications4+ years of experience building generative AI systems using LLMs, diffusion models, multimodal models, etc.4+ years of experience with PyTorch and/or TensorFlow on platforms such as Hugging Face, Gupshup or Twilio with expertise in at least one domain of AI/ML such as NLP, CV, ASR, multimodality, reinforcement learning, robotics, model optimization/compression, etc.3+ years applying machine learning methods to products, features and/or servicesExperience with all aspects of machine learning and model life-cycle management including data curation and collection, pre-training and fine-tuning, model evaluation and experimentation, model deployment and debugging, and post-deployment monitoring and updating.Publications in research communities such as NIPS, ACL, ICML, CVPR, etc.Excellent algorithm and data structure skills (time and space complexity analysis, optimization, etc.)Skill in efficiently implementing algorithms published in technical papers and/or developing new algorithmsMS. or PhD in Computer Science, Electrical Engineering, Statistics, Physics or related fields.Key QualificationsPreferred QualificationsExperience in C/C++/Objective-C development is optional but preferredDemonstrated ability to quickly learn and modify large, existing code basesEnthusiasm for continuing to learn state-of-the-art techniques in machine learning and generative AIExcellent interpersonal and collaboration skillsOutstanding communication skills with an interest in unraveling sophisticated and nuanced issuesExperience deploying and optimizing Large Language Models (LLMs) / multimodal LLMs as well as adapters and applying them to specific contextsKnowledge of ML model optimization techniques, including quantization and pruning, and their implementation in micro-architecture and training environmentsEducation & ExperienceAdditional RequirementsPay & 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 $175,800 and $312,200, 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.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. #J-18808-Ljbffr