ABOUT US
The ShopBack Group is Asia-Pacific’s leading shopping, rewards, and payments platform, serving over 40 million shoppers across ten markets.
Driven by the vision to become the world's most rewarding way to shop, ShopBack is dedicated to saving members money and time, while delivering delightful experiences with every purchase. The platform also enables merchants and brands to engage with their members in a cost-effective manner.
Founded in 2014, ShopBack now powers over US$3.7 billion in annual sales for over 15,000 online and in-store partners, with over half a million transactions happening via the platform daily. In 2022, ShopBack expanded its offerings into the realm of financial services with the launch of ShopBack Pay and PayLater - providing members with responsible and convenient payment options at checkout, while empowering partners with more ways to engage potential customers.
As a Machine Learning Engineering Manager at Shopback, you will lead a team of talented machine learning engineers, collaborate with colleagues across various regions, and manage projects spanning more than ten markets. You will use massive data to build data-aware products and innovate smarter ways for customers to shop and pay.
Responsibilities
- Grow, develop, and manage a team of machine learning engineers.
- Utilize machine learning to enhance our products and improve the shopping experience for both users and merchants. This includes recommendation, personalization, payment, search, and more.
- Collaborate effectively with engineers, product managers, and business stakeholders.
- Provide clear direction and input into the project planning, including rationales for decisions.
- Promote a data-aware culture. Use data to develop metrics, insights, and detect patterns. Conduct both offline and online experiments and assess outcomes using data.
- Maintain high-quality engineering standards.
- Drive continuous improvements in the efficiency and flexibility of platforms and services.
- Explore and learn the latest technologies in the industry.
- Work in a dynamic and diverse engineering culture - every day, we learn from each other, brainstorm and execute ideas.
- Clearly communicate expectations for team member success, recognize their impact, and take performance management seriously.
- 5+ years of machine learning experience in the internet industry, with expertise in modeling and statistical modeling
- 3+ years of experience managing high-performance teams.
- Significant prior success as a machine learning engineer, solving challenging problems at scale.
- English fluency, both in written and verbal communication, is required for effective collaboration within cross-functional and international teams.
- Full-stack experience in data collection, aggregation, analysis, visualization, productization, and monitoring of machine learning products.
- Experience with massive data processing platforms such as Hadoop, Spark, etc.
- Strong skills in Python, machine learning, and deep learning libraries (Pytorch and Tensorflow)
- An understanding of the value derived from getting results early and iterating
- Strong desire to solve tough problems with scientific rigor at scale
- Passion to answer Product/Engineering questions with data
- Ability to develop machine learning products with good engineering practice and mindset
- Ph.D. or M.S. in a quantitative field such as Computer Science, Operations Research, Statistics, Econometrics or Mathematics
This job is already closed and no longer accepting applicants, sorry.
