Machine Learning Scientist / Engineer (KDD 2020)


Job Overview

Machine Learning Scientist / Engineer (KDD 2020)Santa Clara Valley (Cupertino),California,United StatesSoftware and Services+ Strong background in machine learning and artificial intelligence with expertise in one or more of: computer vision, NLP, optimization, deep learning, reinforcement learning, time series, generative models, signals, and distributed systems.+ Knowledge of common ML frameworks+ A passion for making ML methods robust and scalable+ Strong programming skills with proven experience crafting, prototyping, and delivering advanced algorithmic solutions+ Ability to explain and present analyses and machine learning concepts to a broad technical audience+ Be able to deliver ML technologies aligned with the core values of Apple, ensuring the highest standards of quality, innovation, and respect for user privacy+ Creative, collaborative, and innovation focused**Description**As a member of a machine learning team at Apple, you will use your deep understanding of machine learning and artificial intelligence to tackle meaningful technical problems, collaborate with the most innovative product development teams in the world, and transfer your ideas into solutions in the next generation of Apple products. You will perform fundamental research by defining, designing, implementing and evaluating algorithms involving unrivaled data and objectives. You will also actively engage with the academic community by collaborating with universities, publishing and presenting your work, and attending conferences.**Education & Experience**PhD, MS, or BS in Machine Learning, Computer Science, or related fields.**Additional Requirements****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 at (Opens in a new window) at .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. at Learn more at (Opens in a new window) at .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 at rg/olse/sites/default/files/Document/FCO%20Poster%20Set%20All%20Languages%2010%2001%2018.pdf guidelines at rg/olse/sites/default/files/Document/FCO%20Poster%20Set%20All%20Languages%2010%2001%2018.pdf (opens in a new window) at rg/olse/sites/default/files/Document/FCO%20Poster%20Set%20All%20Languages%2010%2001%2018.pdf 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 at (Opens in a new window) at .Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy at Learn more at (Opens in a new window) at .

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