OKX is hiring a
Remote AI Scientist Engineer
\nOKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.\n \nWho We Are\nAt 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.\n \nWe 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!\n \nAbout the Opportunity\nYou 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.\n \nWhat Youโll Be Doing \n\n\nWork 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.\n\n\n\nWork 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.\n\n\n\nCollaborate with cross-functional stakeholders to provide strategies based on data-driven insights across product, marketing, compliance, and others.\n\n\n\nDefine, understand, and test external/internal opportunities to improve our products and services.\n\n\n\nIdentify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics.\n\n\n\nDevelop data models, data automation systems, performance metrics, and reporting systems, and track impact over time.\n\n\n\nDeliver 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.\n\n\n\nImproving upon existing machine learning methodologies by developing new sources, developing and testing enhancements, running computational experiments, and fine-tuning parameters.\n\n\n\nCommunicate results and business impacts of insight initiatives to stakeholders within and outside of the company\n\n\n\n\n \nWhat We Look For In You \n\n\nBachelor degree in Business, Economics, Statistics, Data Science, Data Mining, or similar quantitative field.\n\n\n\nProven successful and trackable experience in an analytical role or data scientist role involving extraction, analysis, and/or modeling.\n\n\n\nSolid experiences in SQL, familiar with SQL functions such as window functions and aggregate functions.\n\n\n\nSolid experiences in Python, familiar with data analysis libraries such as pandas, numpy, matplotlib, scikit-learn, etc.\n\n\n\nExperience in using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.\n\n\n\nExperience in developing production-grade ML systems including exploratory analysis, feature engineering, hyperparameter tuning, model training, model selection, creating data pipelines, etc.\n\n\n\nExperience in working with deep learning frameworks such as PyTorch for real world problems.\n\n\n\nKnowledge of Computer Science fundamentals such as object-oriented design, graph algorithm, algorithm design, data structures, problem solving and complexity analysis.\n\n\n\nSelf-driven, innovative, collaborative, with good communication and presentation skills, able to translate between business and technical audiences.\n\n\n\n\n \nNice to Haves\n\n\nMaster or Phd in Machine Learning, Applied Mathematics, Statistics, Data Mining, Computer Vision, Computer Science,Business, Economics, or other quantitative fields.\n\n\n\nExperience in FinTech, eCommerce, SaaS, AdTech, or Digital Wallet business industries.\n\n\n\nExperience in working with teams across offices and timezones is a plus.\n\n\n\nExperience in big data tools such as Amplitude, DataWorks, MaxCompute, Hadoop, Hive, Spark and HBase is a big plus.\n\n\n\nExperience using analytics techniques to contribute to company growth or increasing revenue and other key business outcomes is a big plus.\n\n\n\nExperience with recommendation systems is a plus.\n\n\n\nExperience with RPA system is a plus\n\n\n\nExperience with NLP, such as NER, semantic analysis and machine translation, etc. is a plus\n\n\n\nExperience with CV, such as image classification, image detection, OCR, etc. is a plus.\n\n\n\nExperience in Triton Inference Server or ONNX is a plus.\n\n\n\nExperience with application development practices at scale\n\n\n\nPublication at top AI conferences and journals\n\n\n\n\nPerks & Benefits \n\n\nCompetitive total compensation package\n\n\n\nL&D programs and Education subsidy for employees' growth and development\n\n\n\nVarious team building programs and company events\n\n\n\nWellness and meal allowances [delete for remote roles]\n\n\n\nComprehensive healthcare schemes for employees and dependants [delete for remote roles]\n\n\n\nMore that we love to tell you along the process!\n\n\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Web3, Testing, Education and Engineer jobs that are similar:\n\n
$70,000 — $100,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐
We hire old (and young)\n\n
\n\n#Location\nSingapore