Working at Kaito
We are a tight knit team with a mission to revolutionize crypto research and investing, and ultimately contribute to the democratization of information in Web3
We deeply value meritocracy and ownership, and aspire to creating a platform for everyone to grow and maximize their potential, while having a bit of fun
You will have the flexibility to work remotely or at any of our global hubs (Seattle, Singapore). Every year for 3 months you can join other colleagues and friends at any of our global hubs with all expenses paid for
Full accountability and ownership of your work in a dynamic start-up environment
Surrounded by fun people, with annual team building trip: skiing in the Alps, surfing in Hawaii, adventure in the Amazon rainforest, safari in Ngorongoro, meditation trip in Thailand…any cool trip you can think of - we’ll make it happen!
Competitive salary & equity compensation
Job Openings
AI Research InternApply Now
US, Singapore, Remote
Apply NowThe Role
As Kaito's AI Research Intern, you will
Work on state-of-the-art AI systems to revolutionize crypto research
Build generative AI models for AI-assisted search, on-chain/off-chain data analysis, and trading bots, among other things
Practice the art of prompt engineering and in-context learning to unleash the hidden talents of large language models like GPT4 and ChatGPT
Research quantitative trading strategies based on the dynamics of social networks
Qualifications
Currently pursuing a PhD degree in AI-related disciplines such as Computer Science, Statistics, Cognitive Science, Mathematics, etc
Proficiency in Python, TypeScript/JavaScript or other related programming languages
Experience in building systems based on machine learning methods and developing data pipelines
Familiarity with methods and tools in statistical/quantitative analysis
Machine Learning Engineer Apply Now
US, Singapore, Remote
Apply NowThe Role
As Kaito’s machine learning engineer, you will
Develop ML system to productionize Kaito’s algorithm to customer facing products
Lead ML system design for Kaito’s recommendation system and search ranking, and develop ML excellence to influence the engineering team
Work on a range of ranking, classification, recommendation and optimization problems, e.g. search ranking, text/sentiment classification, collaborative filtering/recommendation
Develop solutions that iterate orders of magnitude with higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art machine learning techniques
Effectively advocate technical solutions to research, engineering teams and business audiences
Qualifications
Bachelor’s degree in quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research or other related field)
3+ years of experience using Python and at least one modern language such as Java, C++, or C# including object-oriented design
2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of ML systems
2+ years of hands-on experience with Big Data batch and real-time data processing: Spark, Presto, Kafka or Kinesis
Experience with applying algorithms and core computer science concepts to production ML systems
Experience initiating and driving projects to completion with minimal guidance
Data ScientistApply Now
US, Singapore, Remote
Apply NowThe Role
As Kaito’s data scientist, you will
Identify how data science can be applied to improve and optimize Kaito’s search engine and recommendations system
Work cross-functionally as a strategic partner to define priorities and develop project roadmaps with product manager, machine learning engineer and research analyst
Employ languages and tools like Python, R, SQL, and others to drive efficient data exploration and modelling
Build pragmatic, scalable, and statistically rigorous solutions to large-scale web and data infrastructure problems by leveraging or developing statistical and machine learning methodologies
Effectively advocate technical solutions to research, engineering teams and business audiences
Qualifications
Bachelor’s degree in quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research or other related field)
3+ years of experience doing quantitative analysis including experience with SQL or other functional programming languages (e.g, Python, R); experience with object oriented programming languages is preferred (e.g. Java, Go)
3+ years of experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis
2+ years of experience working with big data infrastructures (e.g. Hadoop, Hive, Spark)
Capable of independently developing and deploying data systems such as data logging, data pipelines, real-time model inference, automated data analytics and dashboards
Experience initiating and driving projects to completion with minimal guidance
Backend Software EngineerApply Now
Shanghai, Remote
Apply NowThe Role
As Kaito’s senior backend software engineer, you will
Develop and design Kaito’s flagship web application with a variety of coding languages
Work closely with Product Manager to define feature specifications and build products leveraging frameworks such as Node.js and Python
Work closely with operations and infrastructure to build and scale back-end services
Complete medium to large features (each with many tasks) independently without guidance
Identify and drive changes as needed for assigned codebase, product area, or systems
Qualifications
Bachelor’s degree in Computer Science, or a related technical field; or equivalent combination of technical education and work experience
3+ years of experience developing large complex software and contributing to system design or architecture
Relevant experience in search-related business logic, identity system, payment solutions is preferred
Experience of successfully delivering an enterprise-facing SaaS product is preferred
In-depth knowledge in distributed system and cloud computing services (preferably AWS services)
Research Partner (Part Time) Apply Now
Global Remote
Apply NowBenefits and Perks of Working Part-Time at Kaito
Competitive part-time compensation structure to VC/PE/hedge fund base salary (pro-rated)
Highly flexible and dynamic start-up environment
Discretionary bonus
Lifetime free subscription as our early contributor
Optionality and path to full time offer with equity upside
The Role
As Kaito’s reseach partner, you will
Work closely with co-founding team to define priorities and develop information sourcing roadmaps
Work on industry’s first recommendations system purposely built for crypto users, leveraging state-of-the-art AI technologies
Be a domain expert and effectively advocate business needs to engineering and machine learning teams
Identify areas to improve and optimize Kaito’s search engine and recommendations system
Qualifications
Interest in crypto research is a must
6 months+ web3 exploration experience
Familiar with a large number of crypto information sources (Twitter, Discord, Telegram, podcasts, Twitter Space, Medium, Mirror, The Block etc)
Strong acumen for high quality information across crypto knowledge domain
Web3 related content writing experience is a plus
Professional fluency in 1+ language beyond English (eg Chinese/Korean) is a plus
Senior Web Scraping & Data Acquisition EngineerApply Now
US, Singapore, Remote
Apply NowThe Role
As Kaito’s Senior Web Scraping & Data Acquisition Engineer, you will
Work closely with co-founding team to define priorities and develop information sourcing roadmaps
Lead the effort to design and implement the architecture of a large-scale crawling system (100+ crawlers)
Design, implement, and maintain various components of data acquisition infrastructure (building new crawlers, maintaining existing crawlers, data cleaners & loaders)
Build pragmatic, scalable, and statistically rigorous solutions to large-scale web and data infrastructure problems by leveraging or developing statistical and machine learning methodologies
Effectively advocate technical solutions to research, engineering teams and business audiences
Qualifications
Bachelor’s degree in quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research or other related field)
3+ years of experience with Python for data wrangling and cleaning
Expertise in running, monitoring and maintaining all aspects of a scraping pipeline end to end (building and maintaining 100+ spiders, avoiding bot prevention techniques, data cleaning and pipelining); familiarity with scraping libraries and monitoring tools highly recommended (BeautifulSoup, Xpaths, Selenium, Puppeteer, Splash)
Experience in extracting data from multiple disparate sources including HTML, XML, REST, GraphQL, PDF, and spreadsheets
Experience in using techniques to protect web scrapers against bot detection, site ban, IP leak, browser crash, CAPTCHA and proxy failure
OOP, SQL and Django ORM basics
Pluses
Experience with microservices architecture
Experience with cloud environments such as AWS
Experience with containerization tools such as Docker, and orchestration such as kubernetes
Experience with data warehouse maintenance such as AWS Glue