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 that the future will be reshaped by crypto, and ultimately contribute to every individual’s freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
We are seeking a Senior AI Science Engineer / Lead with deep expertise in AI / machine learning / Data Science, to spearhead the design, development, deployment and optimization of AI-driven growth models. You’ll be in charge of growth models and work cross-functionally to unlock insights and predictive capabilities that power user acquisition, retention, monetization, and personalization.
This role is ideal for someone with a strong background in growth analytics and modeling, experimentation, predictive modeling, and ideally, a solid understanding of crypto or fintech ecosystems.
What You’ll Be Doing
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Hands-on design, development, and lifecycle management of AI models tailored to Global crypto exchange operations and support user growth (e.g., customer Life Time Value (LTV) prediction, user acquisition, referral, search & recommendation, retention, monetization, and personalization, etc.).
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Collaborate with business, product, engineering, data and operation teams to define measurable growth KPIs in both Paid media and Own Media targeting. Build and drive experimentation, simulations, and continuous learning pipelines for model performance optimization and to improve KPIs.
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Stay ahead of the curve on developments in GenAI, LLM/Agent-integrated architectures; apply relevant innovations to our systems.
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Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain.
What We Look For In You
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5+ years of experience in recommendation systems, machine learning, or related AI fields. Senior candidates will be considered for a lead role.
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Hands-on experience with machine learning models (XGboost, deep learning, collaborative filtering, matrix factorization, Transformers, etc.).
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Familiarity with Python, strong experience with deep learning frameworks such as TensorFlow or PyTorch, Aliyun PAI or AWS Sagemaker
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Proficiency in big data processing (Spark, Hive, Hadoop) and large-scale distributed computing.
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Understanding of user behavior modeling, multi-modal learning, and reinforcement learning for recommendations.
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Strong analytical and problem-solving skills with a passion for optimizing machine learning systems.
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Excellent communication skills and the ability to work collaboratively with cross-functional teams.
Nice to Haves
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Experience in top-tier AI Labs or Tech industry leaders
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Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage
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Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed
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!
Notice:
All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website.
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