AI & Machine Learning Engineer, Kraken
$135-203k
Cryptocurrency exchange
Job no longer available
Cryptocurrency exchange
501-1000 employees
Job no longer available
$135-203k
501-1000 employees
Company mission
To accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion.
Role
Who you are
- A minimum of 2 years of experience in AI/ML engineering, with a focus on learning and skill development
- Experience in building, deploying, measuring, and maintaining machine learning models
- Familiarity with the software development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices
- Programming skills in Python, Scala, Go or other languages
- Good written and verbal communication skills and interpersonal skills
- Experience or familiarity with ML frameworks, such as scikit-learn, Tensorflow, PyTorch
- Experience or familiarity with Big Data tools – Spark, S3, Hadoop
- Experience or familiarity with MLOps platforms, such as Kubeflow or MLFlow, is a plus
- Knowledge of GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs, is a plus
- Bachelor's degree in Computer Science, Machine Learning or related field
What the job involves
- 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
- Assist in designing, implementing, and deploying 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
- Assist in developing production-grade ML models to power personalized customer experience, content recommendation, fraud detection/prevention and more
- Support the monitoring and improvement of model performance via data enhancement, feature engineering, experimentation and online/offline evaluation
- Stay up-to-date in machine learning, and artificial intelligence trends and technologies, all while contributing to the growth of AI/ML in the Crypto industry
Our take
Kraken is one of the world's leading and longest-standing cryptocurrency exchanges, known for its focus on transparency and security. The platform offers trading across a wide range of digital assets and fiat currencies, including USD, EUR, and CAD, and serves millions of users globally. Consistently rated as one of the most trusted and secure exchanges in the industry, Kraken has built a reputation on reliability, users protection, and a commitment to its proof-of-reserves verification that allows clients to independently confirm their holdings.
Kraken allows users to trade and invest in spot and derivatives markets, as well as participate in staking, custody, and tokenized asset products. It was also among the first exchanges to undergo a cryptographically verifiable proof-of-reserves audit and continues to lead with innovations such as tokenized US stocks ("xStocks") for non-US customers and expanded institutional services. Alongside this, the company's offerings are designed to make digital finance more accessible and complaint while supporting traders, investors, and enterprises navigating the fast-evolving crypto landscape.
On top of this success, Kraken reported a standout performance in the third quarter of 2025 - doubling its revenue year-on-year to $648M and boosting quarterly profit margins to nearly 28%. Trading volumes climbed to $562B, while assets on the platform rose to $59B, emphasizing the exchange's growth and strong customer confidence. Having expanded its product suite, strengthened its institutional reach, and invested in governance and compliance, Kraken is now in a position for continued expansion (and, potentially, a future public listing), as one of the most resilient and respected names in the global crypto market.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Nov 2025
$800m
LATE VC
Sep 2025
$500m
LATE VC
Total funding: $1.4bn
Company benefits
- Remote-first and work from anywhere
- Competitive salary regardless of location, and the option to be paid in crypto
- Equity grants offered with most roles
- Flexible paid time off
- Wellness Program that includes a fitness coach, free access to wellbeing apps, and a monthly wellness stipend
- Mental health and life coaching benefits for you and your dependents
- Startup-level autonomy with the scale and learning opportunities of a global platform
- Remote workstation set-up bonus
- And more!
Leadership
David Ripley
(Co-CEO)David joined Kraken in 2016 as COO and became Co-CEO in 2023. Prior to this, he co-founded Glidera where he served as the CEO for nearly 3 years. He also spent over 6 years at The Boston Consulting Group, joining as a Consultant before becoming a Project Lead and then Principal.
Arjun Sethi
(Co-CEO)Arjun is the co-founder of Tribe Capital, Foundation, Termina, and Kapital.
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