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Apple

AIML - Senior Machine Learning Engineer, ML Systems Evaluation Engineering

Apple, Cupertino, California, 95014


AIML - Senior Machine Learning Engineer, ML Systems Evaluation Engineering Cupertino,California,United States Machine Learning and AI Do you want to play a part in building groundbreaking technology for large-scale systems, natural language, big data, and artificial intelligence? Join the Siri team at Apple As part of Apple Intelligence, Siri is at the forefront of the next revolution in machine learning and NLP. Our innovative product redefines computing by leveraging cutting-edge technologies in Natural Language Understanding and Conversational AI. We are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide Description We are seeking a highly skilled Senior Machine Learning Engineer specializing in NLP/Conversational AI to join our dynamic team. Our goal is to deliver offline evaluation insights that drive model development and improvements with wins for our end-user experience, all while upholding the privacy standards that Apple is known for. The ideal candidate will play a pivotal role in the evaluation and enhancement of our Apple Intelligence products. You will collaborate closely with cross-functional teams to lead the creation and evolution of high quality datasets for evaluation of state-of-the-art models. With the advent of Apple Intelligence, you will be facing novel challenges in developing representative datasets for delivering a highly personalized user experience. These datasets and associated models power the next generation of Siri and Apple products, and you will be part of this exciting journey. Minimum Qualifications 7 years of professional work experience applying machine learning to real-world problems and crafting scalable and effective data solutions, including demonstrated contributions towards the development of natural language products and/or technologies Experience with managing datasets for ML training and/or evaluation MS/PhD in Machine Learning, Computer Science, or equivalent experience in a related field Excellent programming skills in Python Key Qualifications Preferred Qualifications Good Conversational AI domain knowledge Experience working with end-to-end pipelines and/or crowd-sourced data labeling Excellent problem solving, critical thinking, and communication skills Expertise in defining and measuring evaluation coverage for large language models and agents Enthusiasm and ability for continuing to learn new technologies Experience with systems engineering; in-depth understanding of interdependencies of ML and SW components Excellent understanding of an ML-based product lifecycle Experience delivering large-scale, cross-functional product or platform outcomes 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 $207,800 and $378,700, 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 (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 you’re 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) .