AI Lead Engineer

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.

Who We Are

At OKX, we believe the future will be reshaped by technology. Founded in 2017, we are revolutionising world systems through our cutting-edge digital asset exchange, Web3 portal and blockchain ecosystems. We reshape the financial ecosystem by offering some of the most diverse and sophisticated products, solutions, and trading tools on the market. Trusted by more than 50 million users in over 180 countries globally, OKX empowers every individual to explore the world of Web3. With our extensive range of products and services, and unwavering commitment to innovation, OKX envisions a world of financial access backed by blockchain and the power of decentralized finance.

We are innovative in the way we think, work, and in the products we create. We are also socially responsible by actively participating and encouraging employees to take part in various public welfare activities. With more than 3,000 employees around the world, we believe embracing diversity and inclusion will spark the creation of long-term value for the industry. Come Build the Future with Us now!

About the Opportunity

You will be the member of the core end-to-end AI team, from BI to AI. You will be responsible for democratising insights on our core businesses, collaborating with cross-functional teams to define, measure and understand key metrics, influence business strategy and product roadmap through data, deliver analysis reports and models, empower our products and services with data-driven and AI-driven approaches, and significantly impact the business. You will collaborate closely with the engineering team, product team and other stakeholders in defining the data collection needs, the data schema, the data analysis, the model training and the model deployment.

What You’ll Be Doing

• Work on large-scale structured and unstructured data sets to solve a wide array of challenging problems using analytical, statistical, machine learning or deep learning approaches.
• Work with stakeholders from different departments to understand their business needs and challenges, architect and design analytics solutions to meet business objectives and support business decision making.
• Collaborate with cross-functional stakeholders to provide strategies based on data-driven insights across product, marketing, compliance, and others.
• Define, understand, and test external/internal opportunities to improve our products and services.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics.
• Develop data models, data automation systems, performance metrics, and reporting systems, and track impact over time.
• Deliver Machine Learning projects from beginning to end. This includes understanding the business need, planning the project, aggregating & exploring data, building & validating models, and deploying ML models to deliver business impact.
• Improving upon existing machine learning methodologies by developing new sources, developing and testing enhancements, running computational experiments, and fine-tuning parameters.
• Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company

What We Look For In You

• More than 8 years of industrial experience, with deep knowledge of recommendation systems, with at least 3-year experience of team leading.
• Proven successful and trackable experience in an analytical role or data scientist role involving extraction, analysis, and/or modeling.
• Solid experiences in SQL, familiar with SQL functions such as window functions and aggregate functions.
• Solid experiences in Python, familiar with data analysis libraries such as pandas, numpy, matplotlib, scikit-learn, etc.
• Experience in using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.
• Experience in developing production-grade ML systems including exploratory analysis, feature engineering, hyperparameter tuning, model training, model selection, creating data pipelines, etc.
• Experience in working with deep learning frameworks such as PyTorch for real world problems.
• Self-driven, innovative, collaborative, with good communication and presentation skills, able to translate between business and technical audiences.

Nice to Haves

• Master & Above in Machine Learning, Applied Mathematics, Statistics, Data Mining, Computer Vision, Computer Science,Business, Economics, or other quantitative fields.
• Experience using analytics techniques to contribute to company growth or increasing revenue and other key business outcomes is a big plus.
• Experience in FinTech, eCommerce, SaaS, AdTech, or Digital Wallet business industries.
• Experience in big data tools such as Amplitude, DataWorks, MaxCompute, Hadoop, Hive, Spark and HBase is a big plus.
• Experience with application development practices at scale

Perks & Benefits

• Competitive total compensation package
• L&D programs and Education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!