{"title": "Applied ML Scientist, Shortcuts", "summary": "Generative AI enables us to rethink the way we use our devices. Play a part in the next revolution in human-computer interaction. Work with the people behind Shortcuts & App Intents, Apple Intelligence, and other system experiences that help millions of people get things done!\nThe Shortcuts & App Intents team is looking for an experienced applied machine learning scientist passionate about transformative new computing experiences powered by generative AI. Work at the intersection of cutting-edge machine learning research, software engineering, and Human Interface Design.", "description": "In this role, you will bootstrap and lead machine learning research and application in our group and drive model development and experimentation from concept to production. Responsibilities will include training large scale models on distributed backends, deployment of compact neural architectures efficiently on device, and addressing safety challenges to make our models robust and aligned with human values. As a creative problem solver who excels when faced with new ambiguous problems, you will help us shape our roadmap and solve significant technical challenges in new spaces. An ideal candidate for this role will have industry experience in program synthesis and Large Language Models (LLMs), as well as knowledge of other contemporary modeling problems (e.g., Conversational Agents, Sequential Decision Making, Reinforcement Learning, Autonomous Systems, Human Preference Learning), along with a proven track record of shipping products and experiences. You will work across teams and organizations spanning a variety of disciplines, collaborating closely with machine learning researchers, software engineers, hardware and design teams.", "key_qualifications": "", "preferred_qualifications": "You\u2019re aware of the challenges associated to the transition of a prototype into a final product\nYou've demonstrated leadership in both applied research and development\nInterest in working with design partners in defining novel HCI concepts aided by ML\nEnjoys keeping up-to-date with cutting-edge machine learning research including optimization methods and modeling techniques\nExcellent written and verbal communications skills, comfortable presenting research to large audiences, and able to work hands-on in multi-functional teams\nBonus points if you have experience training on clusters, deploying complex ML models on edge devices, competency in techniques such as quantization and weight pruning", "education_experience": "", "additional_requirements": "", "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 $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.\n\nApple employees also have the opportunity to become an Apple shareholder through participation in Apple\u2019s 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\u2019s Employee Stock Purchase Plan. You\u2019ll 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 \u2014 including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.\n\nNote: Apple benefit, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.", "company": "apple"}