About the company
Kraken, the trusted and secure digital asset exchange, is on a mission to accelerate the adoption of cryptocurrency so that you and the rest of the world can achieve financial freedom and inclusion. Our 2,350+ Krakenites are a world-class team ranging from the crypto-curious to industry experts, united by our desire to discover and unlock the potential of crypto and blockchain technology. As a fully remote company, we already have Krakenites in 70+ countries (speaking 50+ languages). We're one of the most diverse organizations on the planet and this remains key to our values. We continue to lead the industry with new product advancements like Kraken NFT, on- and off-chain staking and instant bitcoin transfers via the Lightning Network.
Job Summary
The Opportunity
šDevelop and articulate the AI/ML Team's vision, mission, and long-term strategy aligned with the company's objectives. šLead, mentor, and inspire a team of talented machine learning engineers by fostering a collaborative and inclusive team culture that promotes knowledge sharing and continuous learning. šCollaborate with cross-functional teams to align AI/ML initiatives with the broader business goals. šOversee the end-to-end development and deployment of machine learning models and solutions that address critical business challenges and opportunities in the crypto space. šStay abreast of the latest advancements in machine learning and AI technologies, and identify opportunities for innovation and improvements. Identify and address potential technical and business risks associated with AI/ML projects, while implementing measures to ensure data privacy, security, and compliance with relevant regulations.
Skills you should HODL
šIn-depth knowledge and expertise in machine learning algorithms, natural language processing, deep learning, and statistical modeling to address real-world problems. šDeep experience in developing and deploying machine learning models in real-world applications. šIn-depth understanding of the software development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices. šProficiency in programming languages such as Python, Scala, Go or other languages. šExcellent communication, interpersonal, and leadership skills. šStrong analytical and problem-solving abilities. šDemonstrated success in driving the implementation of AI/ML projects from conception to deployment. šSolid understanding of blockchain and cryptocurrency technologies is a strong plus. šMaster's or Ph.D. degree in Computer Science, Machine Learning, or a related field. šProven experience (12+ years) leading and managing a team of machine learning engineers and data scientists in a fast-paced environment.