Senior AI/ML Engineer
atKraken Digital Asset Exchange
Oct 02
As one of the largest and most trusted digital asset platforms globally, we are empowering people to experience the life-changing potential of crypto.
Trusted by over 8 million consumer and pro traders, institutions, and authorities worldwide - our unique combination of products, services, and global expertise is helping tip the scales towards mass crypto adoption.
But we’re only just getting started. We want to be pioneers in crypto and add value to the everyday lives of billions.
Kraken is backed by investors including, Money Partners Group, Hummingbird Ventures, Blockchain Capital, and Digital Currency Group, among others.
"We are empowering people to live simply, efficiently and more connected to others. We put our clients’ best interests first and foremost. They are at the heart of our company and drive everything we do. We believe in having a laser focus when pursuing our strategic goals and participate only in markets where we can make a significant contribution. We believe in complete transparency, deep collaboration and we never forget that people come first. Having this mindset allows us to grow and advance at a rate which others cannot."​ Jesse Powell, CEO of Kraken
Did you know that Kraken is now over 2,500+ fully-remote people from around the world? And we're hiring hundreds more in 2022 #werehiring #cryptocareers
Building the Future of Crypto Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.What makes us different? Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission.As a fully remote company, we have Krakenites in 60+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Kraken NFT, and Cryptowatch.Become a Krakenite and build the future of crypto!Proof of workThe teamKraken is looking for an experienced Machine Learning engineer to join our AI/ML Team in the centralized Data organization. In this role you will be applying cutting edge AI/ML technology to solving the most complex and exciting problems in the quickly growing and evolving crypto industry. We are looking for an extremely strong communicator and team-player, who is able to break down large complex problems into smaller more manageable problems-to-solve. You will take initiative to identify business problems, explore different ways to resolve issues, and systematically find the most efficient and effective way to deliver business impact.
The Opportunity
- Design, implement and deploy Machine Learning solutions to solve complex problems and deliver real business value ie. revenue, engagement and customer satisfaction.
- Collaborate with data scientists, software engineers and business partners to identify AI/ML opportunities for improving operation scalability and efficiency.
- Develop production-grade ML models to power personalized customer experience, content recommendation, fraud detection/prevention and more.
- Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation.
- Stay up-to-date with the latest in machine learning and artificial intelligence, and influence AI/ML for the Crypto industry.
- Mentor junior engineers, fostering a culture of continuous learning and improvement.
Skills you should HODL
- Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems.
- Thorough understanding of software development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices.
- Strong programming skills in Python, Scala, Go, Rust or other languages.
- Excellent written and verbal communication skills and interpersonal skills.
- Experience with MLOps platforms, such as Kubeflow or MLFlow.
- Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch.
- Experience with Big Data tools – Spark, S3, Athena/Trino.
- Experience with GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs.
- Advanced degree in Computer Science, Machine Learning or related field.
- A minimum of 5 years experience in AI/ML engineering, with a track record of handling increasingly complex projects.
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