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Staff AI ML Engineer
at Kraken
10 months ago | 1130 views | 1 applications

Staff AI ML Engineer

Per year
$70,000 To $150,000

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

📍Architect and design Machine Learning and Gen AI frameworks to enable solutions that solve intricate problems and deliver significant business value (revenue, engagement, customer satisfaction). 📍Guide collaboration with data scientists, ml engineers, and business partners to identify AI/ML opportunities for improving operation scalability and efficiency, and develop systems tailored to these needs. 📍Lead the development of production-grade ML models to power personalized customer experience, content recommendation, fraud detection/prevention and more. 📍Develop systems and processes for monitoring and improving model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. 📍Stay ahead with the latest trends and technologies in Machine Learning, and Artificial Intelligence, and pioneer their application at Kraken. 📍Mentor junior and senior engineers, fostering a culture of continuous learning and improvement.

Skills you should HODL

📍Proven expertise and track record in building, deploying, measuring, and maintaining 📍Machine Learning models to address real-world problems. 📍Track record of architecting new systems from the ground up to be scalable and maintainable, while also delivering on immediate needs for various proof of concepts. 📍In-depth understanding of the software development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices. 📍Strong programming skills in Python, Scala, Go, Rust or other languages. 📍Outstanding written and verbal communication skills and interpersonal skills. 📍Experience with MLOps platforms, such as Kubeflow or MLFlow. 📍Expertise with ML frameworks, such as scikit-learn, Tensorflow, PyTorch. 📍Hands-on experience with Big Data tools – Spark, S3, Athena/Trino.Experience with GenAI tools, such as Langchain, LlamaIndex, and various Vector DBs. 📍Prior experience in technical leadership, with proven ability to mentor and guide team members. 📍Advanced degree in Computer Science, Machine Learning or related field. 📍A minimum of 8+ years experience in AI/ML engineering, with a track record of handling increasingly complex projects.

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