Job Description

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there\'s no telling what you could accomplish. Asia Pacific IS&T team builds systems for the most dynamic and versatile business teams at Apple. We work on many high-impact projects that serve various Apple lines of business. We use the latest technologies and are constantly opening up the boundaries. Will you join us in crafting solutions that do not yet exist? We are hiring an AI/ML - NLP engineer to: \xe2\x80\xa2 Conceive and design end-to-end machine learning solutions to support Apple\'s business units \xe2\x80\xa2 Develop and implement solutions to fit business problems, which may include applying algorithms from standard models or custom model development \xe2\x80\xa2 Implement entire ML pipeline from data pre-processing and feature engineering through model building to model evaluation \xe2\x80\xa2 Design model evaluation techniques and present results of analysis to business unitsDescription DescriptionBe ready to make something great when you come here. Dynamic, inspiring people and innovative, industry-defining technologies are the norm at Apple. The people who work here have reinvented and defined entire industries with our products and services. The same passion for innovation also applies to our business practices - strengthening our commitment to leave the world better than we found it. Come be part of Asia Pacific IS&T team if you want to help deliver the next amazing Apple product. This role demands the best and brightest; the ideal candidate will be self- motivated, accountable, technically strong and will be challenged to find creative solutions to technical problems. Besides having the key qualifications listed above, the successful candidate is expected to: \xe2\x80\xa2 Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms. \xe2\x80\xa2 Be comfortable with leveraging large data sets to tackle complex NLP and machine learning problems. \xe2\x80\xa2 Apply knowledge of experimental methodologies, statistics, optimisation, probability theory and machine learning using code for tool building, statistical analysis and modelling using both general purpose software languages and statistical languages. \xe2\x80\xa2 Use machine language and statistical modelling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. \xe2\x80\xa2 Work with large scale computing frameworks, data analysis systems and modelling environments. \xe2\x80\xa2 Actively collaborate with business partners and engineering teams to improve model accuracy through market-specific insights and understanding language nuances.Minimum Qualifications Minimum QualificationsKey Qualifications Key Qualifications

• Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modelling
• Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms
• Knowledge of Python, Java and R
• 2 - 5 years experience with machine learning frameworks (such as Keras or PyTorch) and libraries (such as scikit-learn)
• 2 - 5 years experience with large-scale data collection and real-world large scale datasets
• Fluency in Chinese to support Greater China market

Preferred Qualifications Preferred QualificationsEducation & Experience Education & ExperienceBachelor\'s Degree in Engineering / Computer Science / Information Systems or equivalent with minimum 2 years of relevant work experience

Apple