AIML - Senior ML Engineer, Generative AI - Siri Comprehension & Planning

AIML - Senior ML Engineer, Generative AI - Siri Comprehension & Planning Cupertino,California,United States Machine Learning and AI The Siri team is looking for passionate Machine Learning Engineers to join us in developing and shipping innovative technology to advance Siri and Apple Intelligence for Apples customers. Siri is being elevated by the huge opportunities that AI brings. The team is responsible for training on-device & cloud models, evaluating various approaches, opening boundaries with the latest generative AI research developments, and ultimately delivering product critical models that power Siri and Apple Intelligence experiences. These models ship across a wide range of products at Apple, including iPhone, Mac, Apple Watch and more, enabling millions of people around the world to get things done every day. Our team provides an opportunity to be part of an incredible research and engineering organization at Apple. By joining the team, you will work with highly talented machine learning researchers and engineers, and work on meaningful, challenging and novel problems. **Description** As a machine learning engineer on our team, you will play a key role in our development. You will have responsibilities ranging from model design, implementation, training, model iteration, researching and experimenting with new ideas and evaluation. You will apply pioneering generative AI and machine learning methods to continually advance Siris capabilities. At Apple, you will have the opportunity to collaborate with many dynamic, multi-functional teams across research, product and software. The ideal candidate will have a passion for applied research, strong modeling skills, good software engineer skills and a desire to get things done. The team innovates on innovative generative AI and machine learning technology to deliver outstanding products to customers. If that appeals to you, we cant wait to hear from you. **Minimum Qualifications** + 5+ years of hands-on industry experience developing deep learning systems: training (and finetuning) models, designing model architectures, researching/experimenting with new ideas, defining and creating metrics, building datasets and performing error triages. + Deep understanding of Generative AI techniques/literature and proven track record of training (or deploying) LLMs/MLLMs to solve complex problems. + Proficiency in Python and one of the deep learning frameworks (such as PyTorch, JAX, or Tensorflow). + Excellent communication: strong interpersonal, verbal and written skills. + Masters or PhD in Computer Science, Machine Learning, Engineering or equivalent professional experience. **Key Qualifications** **Preferred Qualifications** + Demonstrated experience with building AI agents, LLMs for tool use, AudioLLMs and Multimodal-LLMs. + Experience creating and maintaining large scale, robust machine learning systems and infrastructure for data, modeling and metrics for use in multi-person team setting. + Experience developing, shipping and improving machine learning models in a production environment or a solid publication record in top-tier conferences like NeurIPS, ICML, ICLR, ICRA etc. **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 $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 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) .