\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 You’ll 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 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSingapore

\nWho Are We?\n\n\nObol Labs is a remote-first research and software development team focused on Proof of Stake infrastructure for public blockchain networks. Specific topics of focus are Internet Bonds, Distributed Validator Technology, and Multi-Operator Validation. The core team includes +20 members spread across +10 countries.\n\n\nThe core team is building the Obol Network, a protocol to foster trust-minimized staking through multi-operator validation. This will enable low-trust access to Ethereum staking yield, which can be used as a core building block in various Web3 products.\n\n\nThe Network\n\n\nThe network can be best visualized as a work layer that sits directly on top of the base layer consensus. This work layer is designed to provide the base layer with more resiliency and decentralization as it scales. In this chapter of Ethereum, we will move on to the next great scaling challenge, which is stake centralization. Layers like Obol are critical to the long-term viability and resiliency of public networks, especially networks like Ethereum.\n\n\nObol as a layer is focused on scaling main chain staking by providing permissionless access to Distributed Validators. The network utilizes a middleware implementation of Distributed Validator Technology (DVT), to enable the operation of distributed validator clusters that can preserve validators' current client and remote signing configurations.\n\n\nSimilar to how roll-up technology laid the foundation for L2 scaling implementations, we believe DVT will do the same for scaling the consensus layer while preserving decentralization. Staking infrastructure is entering its protocol phase of evolution, which must include trust-minimized staking networks that can be plugged into at scale. We believe DVT will evolve into a widely used primitive and will ensure the security, resiliency, and decentralization of public networks.\n\n\nThe Obol Network develops and maintains four core public goods that will eventually work together through circular economics:\n\n\nThe DV Launchpad, a User Interface for bootstrapping and managing Distributed Validators\n\n\nCharon, a middleware Golang client that enables validators to run in a fault-tolerant, distributed manner\n\n\nObol Managers, a set of solidity libraries for the formation of Distributed Validators tailored to different use cases such as DeFi, Liquid Staking, and Fractionalized Deposits \n\n\nObol Testnets, a set of ongoing public incentivized testnets that enable any sized operator to test their deployment before serving for the Ethereum Main net\n\n\nSustainable Public Goods\n\n\nObol is inspired by previous work on Ethereum public goods and experimenting with circular economics. We believe that to unlock innovation in staking use cases, a credibly neutral layer must exist for innovation to flow and evolve vertically. Without this layer, highly available uptime will continue to be a moat.\n\n\nThe Obol Network will become an open, community-governed, self-sustaining project over the coming months and years. Together we will incentivize, build, and maintain distributed validator technology that makes public networks a more secure and resilient foundation to build on top of.\n\n\nWe are looking for a Technical Customer Success Manager to join our team.\n\n\nThe role will be to guide customers from their first introduction to Obol, through testing, integration, and beyond. \nThe mission of the role is to manage relationships with Liquid staking protocols and their operator's integrations.\n\n\n\nResponsibilities\n* Act as the primary point of contact for a number of key stakeholders, align and coordinate internal resources to ensure the stakeholder’s success with Obol.\n* Onboarding is one of the biggest priorities for CSMs. It´s extremely important to educate customers on how to use your product. Onboarding should focus on features they need to learn, based on the projects they aim to complete.\n* Educate and manage new customers from a technical perspective, the main job is to build relationships and work with customers to ensure they are using Obol software to their maximum benefit. \n* Have an in-depth understanding of the customer's needs and are responsible for communicating common customer behaviors to the business, marketing, product, and legal teams. \n* Listen to customer needs and escalate and champion the feedback to internal teams.\n* Make sure we have written documentation that may be useful to support the customer's needs. \n* Lead all phases of the customer journey post-acquisition from testing through mainnet integration.\n* Should be able to answer technical questions in Discord/ handle technical issues and questions coming from the community.\n* Steer the customer relationship by serving as the customer’s trusted advisor.\n* Work with customers to price their existing infrastructure costs and develop a cost model with them for what their costs could look like if they adopt Obol software.\n\n\n\nExperience\n* Experience as a DevOps or Software DeveloperWorking knowledge of Kubernetes, Helm, Ansible, Terraform, Docker and Unix.\n* Experience deploying software to cloud and bare metal data centers. Experience in Web3 and staking is ideal but not mandatory\n* Experience in a customer-facing role \n* The ideal time zone is from UTC-5 to UTC+3. \n* Strong verbal and written communication skills in English\n* Ability to collaborate while also working independently\n* Passion for web3 & strong belief in Obol’s mission\n\n\n\nNice to have\n* Solid programming skills and developer experience\n* Understanding of the Ethereum Virtual Machine and Solidity. \n* Knowledge of blockchain infrastructure, specifically Proof-of-Stake, more specifically Ethereum\n* Running servers at home\n\n\n\nCompensation & Benefits\n* Competitive compensation\n* Generous paid time off (According to company policy)\n* Budget for training or education. Possibility to attend conferences.\n* Once annual global offsite\n\n\n\n\n\nJoin our talented team! \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Web3, Solidity, Ethereum, Docker, Testing, DevOps, Cloud, Golang and Digital Nomad jobs that are similar:\n\n $60,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nLisbon, Portugal

\nWe’re recruiting a Senior SDET to help lay the foundation for continuous delivery at Dapper Labs.  As our very first full-time hire focused solely on building out the Dapper Labs automated testing ecosystem, you’ll help iterate on, and lay the foundation for the future of quality assurance at Dapper Labs by pairing speed, efficiency, and cutting-edge experimentation with consistent top-quality output. \n\n\nYour contributions will play a key role in growing a business and shape the way a revolutionary new technology is adopted by vast new audiences. Every one of us shares a common vision: to create the future we want to live in. We need the right people to help us realize that vision.\n\n\n\nWhat we'll accomplish together:\n* Implement from scratch and & maintaining test automation frameworks.\n* Collaborate with teams to design, implement, and test workflow improvements that incorporate test automation.\n* Utilize and evangelize the test pyramid to drive high levels of code quality.  \n* Ensuring automated test suites cover the front- and back-end of applications on a variety of different platforms.\n* Build a roadmap to automate existing manual test cases to automated test cases.\n\n\n\nA little about you:\n* A Bachelor's degree in computer science, computer engineering, or a related field.\n* 7-10 years of experience as a SDET, Automation Engineer, or Developer in Test.\n* Excellent designing and programming skills.\n* Deep experience with test frameworks for Web applications.\n* Experience with API and Mobile testing.\n* Experience implementing and maintaining CI/CD. \n* Knowledge of programming languages and process management methodology.\n* Experience with test methodologies and their corresponding tools.\n* You’re a leader, passionate about building and establishing best practices.\n* Experience agile methodologies in product development.\n* You’ve written and maintained automated test suites.\n* You’re familiar with the most up-to-date QA tools and best practices (TestRail, Cypress, visual diffing, etc.).\n* You have a thorough understanding of cost/benefit for different approaches, such as automation maintenance, manual testing, and more.\n* You’re passionate about quality engineering, while keeping a pragmatic approach to solutions.\n* The ability to keep current with the constantly changing technology industry.\n* A passion for testing, development, and design.\n\n\n\nBonus Points:\n* Experience with automating iOS/Android Platforms\n* Enthusiasm for blockchain.\n* Experience developing and maintaining build pipelines in production systems.\n* Knowledge of JavaScript (for both back- and front-end), SQL.\n\n\n\n\n\nMore about Dapper Labs:\n\n\nDapper Labs uses blockchain technology to make web3 experiences easy, safe and fun. \n \nSince it was founded in 2018, Dapper Labs has given enthusiasts a real stake in the game by bringing them closer to the brands they love, building engaged and exciting communities for them to contribute to, and producing new pathways for them to become creators themselves. \n \nDapper Labs is the makers of the Dapper Platform - the trusted gateway to digital worlds - and the officially-licensed digital video collectibles including NBA Top Shot, NFL All Day, UFC Strike and LaLiga Golazos. \n \nNotable investors in Dapper Labs include Andreessen Horowitz, Coatue, Union Square Ventures, Venrock, Google Ventures (GV), Samsung, and the founders of Dreamworks, Reddit, Coinbase, Zynga, and AngelList, among others. Dapper Labs’ studio partners include the NBA and NBPA, the NFL and NFLPA, Ubisoft, Warner Music, Turner, Dr. Seuss, Genies, as well as 100+ others.\n\n\nVisit our website to learn even more about Dapper Labs, including information about benefits and perks.\n\n\n#LIremote \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Web3, Testing, JavaScript, API, Mobile, Senior, Engineer and Digital Nomad jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS / Canada, Remote