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Apple Machine Learning Engineer China, Beijing, Beijing 854812829
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Description
Engage with others to find opportunities, understand requirements, and translate those requirements into technical solutionsInvestigate adversarial trends, identify behavior patterns, and respond with agile logic changes
Minimum Qualifications
- Superior verbal and written communication and presentation skills, ability to convey meticulous mathematical concepts and considerations to non-experts.
- Understanding of common machine/deep learning algorithms and practical experience in one or more of the following areas: time series forecasting, anomaly detection, convex optimization, computer vision, NLP, recommendation system and Auto ML
- Solid understanding of relational databases, including SQL, and large-scale distributed systems such as Hadoop and Spark
- Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or Java
Key Qualifications
- You should have 5-10 years experience in software engineering roles. You will have an excellent understanding of scalable approaches and thrive working in Agile environments.
- You are a clear and effective communicator, and enjoy collaborative problem solving
- You love working on a shared codebase that supports important applications; and the subject area that it requires
- Deep expertise in modern software engineering approaches, stay on top of developments, and are aware of what leading players are doing
- You have a confirmed ability to design, implement, refactor, and extend highly performant, scalable, resilient, reliable system
- Java, Python, Golang, and/or other program languages
- You have deep experience with Spark, Hadoop, Kafka or other distributed systems
- MySQL, Oracle, Postgres, or other relational databases
- Worked in cloud environments and are familiar with object stores, and other common cloud-native data storage and processing frameworks
- You have worked in CI/CD environments and understand scalable deployment and operational management approaches
- You have experience with pipelines and architectures that support machine learning development platforms and production applications
- You understand statistics and are capable of using data analysis techniques to understand data quality, profile system loads, understand the relationships between business metrics, and similar
Preferred Qualifications
- Ability to comprehend and debug complex systems integrations spanning toolchains and teams
- Ability to extract meaningful business insights from data and identify the stories behind the patterns
- Creativity to engineer novel features and signals, and to push beyond current tools and approaches
- Excellent verbal and written communication skills, in both Mandarin Chinese and English
Education & Experience
PhD. in Computer Science, Machine Learning, Statistics, Operations Research or related field; orPhD. in Math, Engineering, Economics, or hard science with data science fellowship; orM.S. in related field with experience applying machine learning engineer to real business problems
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