Applied ML Scientist, Shortcuts

Applied ML Scientist, Shortcuts Cupertino,California,United States Software and Services 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! The Shortcuts & App Intents team is looking for a machine learning scientist passionate about building transformative new computing experiences powered by AI. Work at the intersection of cutting-edge machine learning research, software engineering, and Human Interface Design. **Description** In this role, you will bootstrap 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 or equivalent hands-on research working with Transformers 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). You will work across teams and organizations spanning a variety of disciplines, collaborating closely with machine learning researchers, software engineers, hardware and design teams. **Minimum Qualifications** + An advanced degree (Master's) in Computer Science, Artificial Intelligence, Machine Learning, or a related experience is required + Consistent track record of researching, inventing and/or shipping advanced machine learning models + Deep hands-on experience with generative models (e.g. Transformers, LLMs, VLMs, etc.) + Strong analytical and problem solving skills + Strong programming skills in Python, C and C++, proficiency in using machine learning toolkits, e.g., PyTorch **Key Qualifications** **Preferred Qualifications** + You've demonstrated leadership in both applied research and development + Interest in working with design partners in defining novel HCI concepts aided by ML + Enjoys keeping up-to-date with cutting-edge machine learning research including optimization methods and modeling techniques + Excellent written and verbal communications skills, comfortable presenting research to large audiences, and able to work hands-on in multi-functional teams + Bonus 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 $121,900 and $214,500, 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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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 (https://www.apple.com/careers/us/benefits.html) 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. + 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) **Apple Footer** 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 (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If youre applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .