精选DS岗位 | Apple、ZOOM持续热招!
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职位:Machine Learning Engineer - SIML, ISE
行业分类:Consumer electronics, Software services
公司规模:164,000 人
工作地点:Santa Clara Valley (Cupertino), California, United States
职位要求:
Familiarity with a broad range of Machine Learning techniques and relevant statistical packages to engineer Machine Learning solutions end-to-end.
Experience in contributing to production code bases. Ability to rapidly prototype algorithmic ideas in notebook environments and translate them into production code.
Proficient in state-of-the-art ML techniques particularly in the field of Generative AI and Large Language Models (Transformer architecture, CLIP and various visual and text embedding models, GPT and BERT style language models).
Exceptional communication and presentation skills and the ability to explain difficult technical topics to everyone from data scientists to engineers to business partners.
Strong proficiency with Python (Scikit learn, Jupyter), PyTorch, SQL-based languages. Working proficiency with Git.
【Apple】
行业分类:Consumer electronics, Software services
公司规模:164,000 人
工作地点:San Diego, California, United States
Highly proficient in scripting languages such as Python
2+ years of experience in Continuous Integration environments and/or in building and maintaining Data Analytics automated pipelines
Strong communication skills and ability to explain and understand complex technical concepts
Deep understanding of Cloud Computing and micro-services paradigms
Deeply committed to following and disseminating best engineering practices such as test-driven and agile development
Understands the importance of a data-driven approach and therefore uses analytics to identify and proactively prevent incidents
Understand the steps needed to design and maintain Data Visualization tools and/or Interactive Dashboards
Highly motivated, self-directed, and a fast learner, excellent judgment and integrity, with the ability to make timely and sound decisions
【ZOOM】
Master’s degree in Computers Science, Information Systems, Computer Engineering, a related field, or a foreign equivalent plus 2 years of post-baccalaureate experience in job offered or related role. Applicants must have 2 years of experience in the following: (1) handling databases and transforming data sets, including data clean-ups, rationalization and developing dashboards and insights; (2) data science and analysis skills on different sources of data, from internal to external sources; (3) Automating client reporting using SQL, MySQL, and Tableau; (4) implementing machine learning algorithms to build predictive models and insights for planning and prioritization; (5) Using statistical tools to interpret large data sets to drive predictive analytics efforts; and (6) automation of manual workflows for reporting and data curation. Telecommuting available.
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