
Job Overview
Location
Remote
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
February 12, 2026
Full Job Description
đź“‹ Description
- • Kraken is at the forefront of the cryptocurrency revolution, dedicated to accelerating global adoption and empowering individuals with financial freedom. We are a mission-focused company deeply rooted in crypto values, attracting some of the most talented minds in the industry. As a Sr. Staff AI ML Engineer, you will play a pivotal role in shaping the future of our AI and Machine Learning capabilities, contributing to a company that has been a pioneer in the crypto space for over a decade. Our commitment to industry-leading security, comprehensive crypto education, and exceptional client support through products like Kraken Pro, Desktop, Wallet, and Kraken Futures defines our excellence.
- • This is a unique opportunity to join Kraken's dynamic Data organization and take ownership of the Machine Learning platforms and systems that power our entire company. You will be instrumental in enabling numerous product and engineering teams to build, deploy, and reliably operate ML models in production environments. Your work will directly impact critical areas such as fraud detection, risk management, personalization, and recommendation engines, driving significant improvements in scalability and efficiency.
- • You will be expected to operate with a high degree of autonomy, tackling broad and complex problem spaces, and providing technical clarity in environments that are often ambiguous. This role demands a leader who can influence technical direction, mentor other engineers, and foster a culture of deep technical expertise, strong ownership, and continuous improvement.
- • Key responsibilities include setting the long-term technical strategy for Kraken's AI ML initiatives, influencing multiple teams and projects. You will own the architecture and ongoing evolution of our core AI ML systems, encompassing the entire model lifecycle from training and feature management to serving, experimentation, and monitoring.
- • You will lead cross-team efforts to establish and standardize robust ML development and operational practices across the organization, ensuring consistency and high quality. A significant part of your role will involve driving the design and delivery of complex, high-impact ML systems that address critical business needs.
- • Collaboration is key. You will partner closely with senior engineering, product, and data leaders to identify strategic opportunities where ML can unlock step-change improvements in scalability and efficiency. This involves translating business challenges into technical ML solutions and advocating for best practices.
- • The role requires a balance between hands-on technical contributions and architectural leadership. You will be responsible for conducting design reviews, providing technical guidance, and ensuring the technical integrity of our ML infrastructure.
- • A crucial aspect of this position is evaluating emerging ML and Generative AI technologies. You will be tasked with identifying and leading the adoption of these technologies when they offer durable, platform-level value, ensuring Kraken remains at the cutting edge of AI innovation.
- • Mentorship is highly valued. You will mentor Staff and Senior engineers, actively shaping our technical culture and elevating the overall quality and maturity of ML engineering practices at Kraken. This includes sharing knowledge, fostering best practices, and developing the next generation of ML leaders within the company.
- • As a fully remote company with Krakenites in over 70 countries, you will be part of a global, diverse, and inclusive team. We celebrate the unique talents, backgrounds, and perspectives that each Krakenite brings, fostering an environment where everyone can thrive and contribute to our mission.
- • This role is ideal for an experienced ML leader who thrives in a fast-paced, innovative environment and is passionate about the potential of blockchain technology. You will have the opportunity to make a significant impact on a leading cryptocurrency exchange, working on challenging problems with a world-class team.
🎯 Requirements
- • 10+ years of experience building and operating large-scale production Machine Learning systems.
- • Proven track record of owning ML platforms or infrastructure utilized 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 at least one additional language such as Scala, Go, or Rust.
- • Deep hands-on experience with ML frameworks (e.g., 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 (e.g., Spark, object storage, large-scale batch and streaming).
- • Demonstrated ability to lead through influence, mentor senior engineers, and communicate technical strategy to diverse stakeholders.
🏖️ Benefits
- • Competitive salary and equity package.
- • Comprehensive health, dental, and vision insurance.
- • Generous paid time off and holidays.
- • Remote-first work environment with flexibility.
- • Opportunities for professional development and continuous learning.
- • Contribute to a mission-driven company at the forefront of the crypto industry.
Skills & Technologies
Python
Rust
Scala
TensorFlow
PyTorch
Data Science
Senior
Remote
About Kraken
Kraken is a global cryptocurrency exchange established in 2011, offering spot and futures trading for Bitcoin, Ethereum and 200+ digital assets. Headquartered in San Francisco with entities worldwide, it serves retail and institutional clients, providing custody, staking, an NFT marketplace and OTC desk. The platform emphasizes security, regulatory compliance and educational resources.
Similar Opportunities

IDEXX Laboratories, Inc.
NZ-AKL-Auckland
Full-time
Expires Mar 8, 2026
TypeScript
TensorFlow
PyTorch
+2 more
1 month ago
Sydney
Full-time
Expires Mar 10, 2026
1 month ago


