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地址
Shenzhen, Shenzhen, CN
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Senior Machine Learning Engineer-Shenzhen

国家/地区 : 中国 中国

城市 : Shenzhen

类别 : 生产-质检

合同类别 : 正式员工

工作性质 : 全职

职位描述

NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it's about each person bringing skills and passion to a challenging and constantly evolving game.
NIKE is a technology company. From our flagship website and five-star mobile apps to developing products, managing big data and providing leading edge engineering and systems support, our teams at NIKE Global Technology exist to revolutionize the future at the confluence of tech and sport. We invest and develop advances in technology and employ the most creative people in the world, and then give them the support to constantly innovate, iterate and serve consumers more directly and personally. Our teams are innovative, diverse, multidisciplinary, and collaborative, taking technology into the future and bringing the world with it.
Who are we looking for
We seek passionate Machine Learning Engineers to join our team; As a Senior Machine Learning Engineer, you will develop robust solutions to real-world, large scale problems advanced analytics and machine learning solutions that have a direct impact on the business. You will develop and implement novel statistical and/or machine learning approaches to real-world, large scale problems that have a direct impact on the business. You'll be translating business problems into prediction predictive models and optimization programs, implemented with professional software engineering skills. They should also have a proven history of conceiving, executing, and delivering team leadership and value delivery, and be comfortable working in a product model using Scrum strategically important technology projects. As an Engineer, you will articulate a technology vision aligned to a critical business outcome, and to act as a technical leader to the teams involved in delivering that vision. Strong communication skills are critical for this role as you will be required to communicate your technical vision both down to individual team members and up to senior leaders for consensus.
What will you work on
Candidate will work with the Advanced Analytics and Machine Learning (AAML) team at Nike. With teammates in Portland, Boston, China, and Poland, you will join a global organization working to tackle machine learning problems at scale. You will craft and implement scalable applications that bring to bear prediction predictive models; with focus on combating digital frauds that result in incredible a measurable business and brand impact. You thrive when surrounded by hardworking colleagues and seek to never stop learning. You will also partner with Data Science groups and Enterprise Platform in Nike to define Data Science Platform strategy. We are looking for candidates who enjoy a collaborative and academic environment where we develop and share new skills; as well as mentor/contribute knowledge and software back to the analytics and engineering communities within Nike. You will provide leadership and direction in the innovation of ground-breaking fraud detection and analytical based solution with a focus on data science and applied ML techniques.
We value and champion our culture by seeking to always be collaborative, intellectually curious, fun, and diverse.

职位要求

Who will you work with
In this role, you'll be working closely with the rest of our global and geography team, along with Consumer analytics, Cyber Security/Fraud team, Consumer Data Science and Enterprise Architecture. This role reports to Senior Director of Enterprise Data & Analytics within China Capability Center on the AAML team.
What you bring
* Bachelor's or master's degree in computer science or related subject area with 6+ experience
* 2+ years of demonstrated professional experience in Cyber Security, Machine Learning and Data Science.
* Working experience with Python, Pyspark, Machine learning (Supervised & Unsupervised) and deep learning frameworks like Scikit-learn, TensorFlow, Keras, PyTorch
* Experience in mining features from Clickstream data, CDN and various big data sources to support anomaly detection/fraud related use cases is highly desired
* Hands on experience with MLOps frameworks such as TensorFlow Extended, Kubeflow, Airflow or other workflow engines, Model Serving (Real time/batch) and distributed training.
* Experience applying data science techniques to the cyber security problem set, and domains like Natural Language Processing (NLP), Bayesian models, graphical models, GNN, GAN and a variety of neural network approaches
* Demonstrable ability to interpret, and implement methods described in research papers and articles in machine learning, deep learning, mathematical modeling and related fields.
* Strong understanding of data and analytics, including experience with Big Data, real time and batch data processing is preferred.
* Ability to take end to end ownership of the engineering cycle for AI/ML
* Experience with cloud platforms (e.g., AWS, GCP) and able to containerize and deploy models to production.
* Data wrangling experience with structured and unstructured data
* Strong problem solving and analytical mindset
* Familiar with data structures and algorithms
* Effective communication skills (with team members, the business, and in code)
NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world. NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
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