At a Glance
- Tasks: Lead the development of cutting-edge AI/ML systems for the future of crypto.
- Company: Join Kraken, a mission-driven company at the forefront of crypto innovation.
- Benefits: Fully remote work, competitive salary, and a diverse, inclusive culture.
- Why this job: Make a real impact in the crypto space while shaping the future of AI/ML.
- Qualifications: 10+ years in ML systems, strong Python skills, and leadership experience.
- Other info: Embrace a dynamic environment with opportunities for mentorship and growth.
The predicted salary is between 54000 - 90000 ÂŁ per year.
Building the Future of Crypto. Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology. What makes us different? Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion.
For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world. As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry‑leading security, crypto education, and world‑class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures.
The team joins Kraken’s Data org and owns 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.
The opportunity:
- 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.
Skills you should HODL:
- 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.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don’t fully meet the listed requirements, especially if you’re passionate or knowledgeable about crypto!
As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.
Sr. Staff AI/ML Engineer employer: Kraken
Contact Detail:
Kraken Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Staff AI/ML Engineer
✨Tip Number 1
Get to know Kraken inside out! Familiarise yourself with the Kraken app and our culture page. This will not only help you understand our mission but also show us that you're genuinely interested in being a part of the team.
✨Tip Number 2
Network like a pro! Connect with current Krakenites on LinkedIn or Twitter. Engaging with our community can give you insights into our work culture and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills. We’re looking for deep expertise in AI/ML systems, so be ready to discuss your past projects and how they align with our goals at Kraken.
✨Tip Number 4
Don’t hesitate to apply even if you don’t meet every single requirement! If you’re passionate about crypto and have relevant experience, we want to hear from you. Head over to our website and submit your application today!
We think you need these skills to ace Sr. Staff AI/ML Engineer
Some tips for your application 🫡
Know Your Stuff: Before you start writing, make sure you’re familiar with Kraken’s mission and values. This will help you tailor your application to show how you align with our culture and goals.
Show Off Your Skills: Highlight your experience with AI/ML systems and any relevant projects you've worked on. We want to see your technical expertise shine through, so don’t hold back!
Be Authentic: Let your personality come through in your application. We’re looking for passionate individuals who can contribute to our team culture, so be yourself and share what excites you about the role.
Apply Through Our Website: Make sure to submit your application through our official website. It’s the best way for us to receive your details and keep track of your application. Plus, it shows you’re serious about joining the Kraken family!
How to prepare for a job interview at Kraken
✨Know Your Crypto Stuff
Before the interview, dive deep into Kraken's mission and values. Familiarise yourself with their products and the crypto landscape. Being able to discuss how your experience aligns with their goals will show that you're not just another candidate but a potential Krakenite who truly gets it.
✨Showcase Your Technical Expertise
Prepare to discuss your experience with large-scale ML systems and the specific technologies mentioned in the job description. Be ready to share examples of past projects where you’ve made architectural decisions or led teams. This is your chance to shine a light on your technical prowess!
✨Emphasise Collaboration
Kraken values teamwork across various departments. Think of examples where you've successfully collaborated with product, engineering, or data science teams. Highlighting your ability to work cross-functionally will demonstrate that you can thrive in their environment.
✨Ask Insightful Questions
Prepare thoughtful questions about Kraken’s AI/ML strategy and how they envision the future of their systems. This not only shows your genuine interest but also gives you a chance to assess if Kraken is the right fit for you. Remember, interviews are a two-way street!