The Role
Lead architecture and hands-on development of machine learning and data infrastructure for risk and fraud prevention. Optimize model inference performance, build model deployment and monitoring systems, design scalable Databricks and Spark data pipelines, connect offline and online feature systems, and improve feature services and data integrations. Provide technical direction, mentor engineers, and coordinate delivery across ML, data engineering, cloud infrastructure, security, and product teams.
Summary Generated by Built In
Who We Are What We Look For In You Nice to Haves Perks & Benefits
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.
About the OpportunityWe are looking for an experienced engineer to lead the architecture and hands-on development of the ML and data infrastructure behind our risk and fraud prevention systems. You will help teams move models from experimentation into reliable production services, improve model execution performance, and build scalable data foundations for training, evaluation, and real-time decisions.
What You’ll Be Doing - Improve model inference latency, throughput, resource utilization, and cost. Profile the full prediction path —from feature retrieval and preprocessing to model execution — and deliver measurable improvements without unacceptable model-quality regressions.
- Build reusable infrastructure for model packaging, versioning, deployment, serving, monitoring, and rollback across cloud platforms and regions.
- Design and optimize offline data pipelines on Databricks, Apache Spark, and warehouse/lakehouse technologies, addressing data modeling, partitioning, joins, shuffles, skew, incremental processing, and cost.
- Connect offline and online feature pipelines, ensuring point-in-time correctness, consistent feature definitions, freshness, lineage, and reproducible backfills.
- Evolve reliable feature services and data integrations supporting risk models and decision systems.
- Set technical direction, mentor engineers, and lead delivery across ML, data engineering, cloud infrastructure, security, and product teams.
- A record of building and operating large-scale distributed systems, ML infrastructure, or data platforms, with technical ownership across teams.
- Hands-on experience optimizing production model performance, supported by measurable improvements in latency, throughput, utilization, or cost.
- Deep understanding of Databricks and Spark, or comparable offline data platforms, including execution plans, distributed query optimization, storage layouts, data correctness, and workload cost management.
- Experience with the model lifecycle, including training/serving integration, validation, deployment, observability, and rollback.
- Strong Python, SQL, and at least one backend or systems language such as Java, Scala, Go, or C++.
- Ability to turn ambiguous requirements into clear architecture and deliver maintainable systems through hands-on engineering and technical leadership.
- SageMaker, Alibaba Cloud PAI/EAS, or comparable ML platforms.
- Inference optimization using tools such as ONNX Runtime, TensorRT, or Triton.
- Delta Lake, MLflow, feature stores, Kafka, Flink, and low-latency data stores.
- Fraud detection or financial risk systems.
- Fluency in Mandarin
- Competitive total compensation package
- L&D programs 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!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The salary range for this position is $214,666 to 321,999
The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.
#LI-SK1 #LI-HYBRID
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.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.
Skills Required
- Experience building and operating large-scale distributed systems, ML infrastructure, or data platforms with technical ownership across teams
- Hands-on experience optimizing production model performance with measurable improvements in latency, throughput, utilization, or cost
- Deep understanding of Databricks and Apache Spark or comparable offline data platforms, including distributed query optimization, storage layouts, data correctness, and cost management
- Experience with the model lifecycle, including training and serving integration, validation, deployment, observability, and rollback
- Strong Python and SQL skills
- Proficiency in at least one backend or systems language such as Java, Scala, Go, or C++
- Ability to translate ambiguous requirements into architecture and deliver maintainable systems through hands-on engineering and technical leadership
- Experience with SageMaker, Alibaba Cloud PAI/EAS, or comparable ML platforms
- Experience with ONNX Runtime, TensorRT, or Triton for inference optimization
- Experience with Delta Lake, MLflow, feature stores, Kafka, Flink, and low-latency data stores
- Experience with fraud detection or financial risk systems
- Fluency in Mandarin
OKX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about OKX and has not been reviewed or approved by OKX.
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Fair & Transparent Compensation — Pay is considered competitive or above market, especially in engineering, product, and legal roles across major hubs. This positioning is consistently cited as a major attraction for candidates.
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Healthcare Strength — Role descriptions indicate comprehensive medical, dental, vision, life, and disability coverage, with employer-paid premiums in some cases. Health coverage is highlighted alongside core benefits like PTO and parental leave.
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Wellbeing & Lifestyle Benefits — Allowances for education and fitness, meal perks and snacks, team-building budgets, and structured learning programs are described across locations. These extras enhance the total rewards package beyond base pay.
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The Company
What We Do
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’s vision is a world of financial access backed by blockchain and the power of decentralized finance.
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