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Graduate Hire 2024/25 - AI Engineer

OKX · 30+ days ago
Negotiable
Full-time
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OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
 
If you are interested in more than one Supernova role, please apply to your first preference. We will still consider you for all opportunities.
 
Who We Are
At OKX, we believe our future is reshaped with technology. Founded in 2017, OKX is one of the world’s leading cryptocurrency spot and derivatives exchanges. OKX innovatively adopted blockchain technology to 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 20 million users in over 180 regions globally, OKX strives to provide an engaging platform that empowers every individual to explore the world of crypto. In addition to its world-class DeFi exchange, OKX serves its users with OKX Insights, a research arm that is at the cutting edge of the latest trends in the cryptocurrency industry. With its extensive range of crypto products and services, and unwavering commitment to innovation, OKX vision is a world of financial access backed by blockchain and the power of decentralized finance.
 
We invest in our people as much as we invest in technology. We are united by our engaging culture, here we win as a team, embrace changes, and do the right thing. We are committed to creating a friendly, rewarding and diverse environment for OKers. It doesn’t matter where you come from, here everyone feels valued, respected and has the same opportunities to develop and thrive — we want to bring out the best in you.
 
About OKX Graduate Program (Supernova)
The Supernova Program is a 3-year Career Accelerator Program that aims to fast-track, high performing graduates into technical experts and future leaders mainly in the fields of Product Engineering, Product Management, and Product Design. We firmly believe in the power of the new era. Join us to achieve your narrative around crypto.
 
About the team:
You will be the member of the core end-to-end AI team, from BI to AI. You will be responsible for democratising insights into 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
  • Be a problem solver and work on large-scale structured and unstructured data sets to solve a wide range of challenging problems in recommendation, natural language processing, computer vision, fraud detection domains, using analytical, statistical, machine learning or deep learning approaches.
  • Be part of the AI team and work together with senior data scientists to understand stakeholders' business needs and challenges, design and deploy ML solutions to meet business objectives and support business decision making.
  • Pursue excellence and improve existing machine learning solutions by utilising new data sources and the latest SOTA models, develop and test enhancements with AB test or computational experiments.
  • Follow best engineering practice and maintain high-quality technical documentation.
What We Look For In You
  • Bachelors in Data Science, Computer Science, Mathematics, Electrical Engineer or self-taught enthusiasts.
  • Solid understanding of common machine learning models, deep learning models, statistical models, computer science fundamentals such as object-oriented design, algorithm design, data structures and complexity analysis.
  • Solid experiences with Python(Pandas, Numpy, Scikit Learn, Matplotlib, PyTorch, Tensorflow etc), SQL(window, aggregate, join, etc) and Common Terminal Commands.
  • Self-driven, innovative, collaborative, with good communication and presentation skills, able to translate between business and technical audiences.
Nice to Haves
  • Experience in an analytical or data scientist role involving feature extraction, big data analysis with Hadoop/Hive/Spark/HBase, modelling in FinTech, eCommerce, AdTech, or Digital Wallet business industries.
  • Master or Phd in Machine Learning, Applied Mathematics, Statistics, Data Mining, Computer Vision, Computer Science, Business, Economics, or other quantitative fields.
  • Data science competition winner or publications at top AI conferences or journals.

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!

 

Timeline:
  • Applications open until September 2, 2024.
  • If selected to proceed in our process, you will hear from our recruitment team around mid-September. 

 

Last updated on Aug 22, 2024

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