Senior Staff 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
- 10+ years of experience building and operating large-scale production Machine Learning systems
- Proven track record of owning ML platforms or infrastructure used by multiple teams or products
- Strong system design skills, with experience making long-term architectural tradeoffs in complex environments
- Expert-level proficiency in Python and strong experience with additional languages such as Scala, Go, or Rust
- Deep hands-on experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and model lifecycle management
- Extensive experience with MLOps practices, including experimentation frameworks, CI/CD, model monitoring, and reliability
- Strong background in data-intensive and distributed systems (Spark, object storage, large-scale batch and streaming)
- Demonstrated ability to lead through influence, mentor senior engineers, and communicate technical strategy to diverse stakeholders
- 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
- Join Kraken’s Data org and own the Machine Learning platforms and systems used across the company
- The team operates at company-wide scope, enabling multiple product and engineering teams to build, deploy, and operate ML models reliably in production
- We work closely with product, engineering, data science, security, and compliance partners to ensure ML systems are scalable, observable, and aligned with Kraken’s business and regulatory requirements
- Engineers on the team are expected to operate with high autonomy, handle broad problem spaces, and drive technical clarity in ambiguous environments
- The team values deep technical expertise, strong ownership, and mentorship, with an emphasis on raising the bar across the organization
- Set long-term technical direction for Kraken’s AI/ML strategy, influencing multiple teams and initiatives
- Own the architecture and evolution of core AI/ML systems, including training, feature management, serving, experimentation, and monitoring
- Lead cross-team efforts to standardize ML development and operational practices across the company
- Drive the design and delivery of complex, high-impact ML systems for use cases such as fraud, risk, personalization, and recommendations
- Partner with senior engineering, product, and data leaders to identify where ML can unlock step-change improvements in scalability and efficiency
- Balance hands-on technical contributions with architectural leadership and design review responsibilities
- Evaluate emerging ML and GenAI technologies and lead their adoption when they provide durable platform-level value
- Mentor Staff and Senior engineers, shaping technical culture and raising the overall quality of ML engineering at Kraken
Application process
- Applications are accepted on an ongoing basis
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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