Senior AI/ML Engineer, Kraken
Cryptocurrency exchange
Be an early applicant
Cryptocurrency exchange
501-1000 employees
Be an early applicant
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
- You’ll thrive here if you have an exceptional eye for detail, take pride in writing performant, secure, and scalable software, and enjoy bridging the gap between data science and production engineering
- 5+ years of engineering experience in the Data and/or AI/ML space
- Strong software engineering background, with proficiency in Python (familiarity with Rust is a plus)
- Proven experience designing and implementing large-scale batch data processing workflows (e.g., Pandas, Spark, Polars, SQL)
- Hands-on experience developing and operating real-time, low-latency, streaming data pipelines (e.g., Apache Flink, Kafka, Beam)
- Proven experience in building and maintaining AI/ML or data platforms at scale
- Solid understanding of MLOps concepts — including model lifecycle management, CI/CD for ML, feature stores, and data validation frameworks
- Experience with GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs
- Hands-on experience with containerization and orchestration technologies such as Docker, Kubernetes, or Nomad
- A pragmatic mindset, able to balance technical rigor, performance, and delivery timelines
- Excellent communication and collaboration skills, with the ability to partner across disciplines
- A passion for building secure, reliable systems that support mission-critical business functions
- We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto!
What the job involves
- We are seeking an experienced Senior AI/ML Engineer to join our Core Services team. Our team focuses on building and maintaining some of the core APIs that power Kraken’s user experience, ranging from funding accounts and moving assets to fraud prevention and transaction analysis
- In this role, you’ll be a key contributor in designing and implementing a robust, scalable, and developer-friendly AI/ML platform. This platform will enable data scientists, analysts, and engineers to efficiently build, train, and deploy models that support anti-fraud and compliance monitoring initiatives across the organization
- Design and implement robust Python services and libraries to power real-time fraud detection and compliance monitoring systems
- Build scalable batch and streaming data pipelines for feature building, model inference, and training, with strong guarantees for data quality, latency, and reliability
- Develop and operate a developer-friendly ML platform, including feature stores, data validation tooling, and model-training pipelines with automated quality checks
- Support ML model lifecycle management — from feature engineering and experimentation to deployment, monitoring, and performance tuning
- Manage and optimize real-time data infrastructure, leveraging technologies such as Kafka, Apache Flink, and Kubernetes/Nomad
- Work closely with experienced Python and Rust engineers, data scientists, and business stakeholders
- Mentor junior engineers, foster best practices, and help shape a strong engineering culture
- Stay current with MLOps, AI infrastructure, and data engineering trends, bringing innovative solutions into production
- Take end-to-end ownership of systems and services, ensuring scalability, maintainability, and security
Application process
- This job is accepting ongoing applications and there is no application deadline
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.
Share this job
View 110 more jobs at Kraken