Kraken

London

1,001-5,000 employees

We put the power in your hands to buy, sell, and trade digital currency

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Machine Learning Engineer - Compliance Systems

Kraken

Machine Learning Engineer - Compliance Systems

ML Engineering

This job is no longer open

About Kraken

As one of the largest and most trusted digital asset platforms globally, we are empowering people to experience the life-changing potential of crypto. Trusted by over 8 million consumer and pro traders, institutions, and authorities worldwide - our unique combination of products, services, and global expertise is helping tip the scales towards mass crypto adoption. But we’re only just getting started. We want to be pioneers in crypto and add value to the everyday lives of billions. Now is not the time to sit on the sidelines. Join us to bring crypto to the world.

About the Role

The Compliance Systems team works at the intersection of Data Science, Product and Compliance. The Systems team is looking for a Machine Learning Engineer to help us develop, integrate and optimize our end to end data science pipelines which are used to describe and predict anomalous customer activity on kraken’s platform. The role will include building and maintaining applications utilizing modern cloud technologies primarily in Python, and taking ownership of end-to-end solutions.

Responsibilities

Develop highly scalable systems, algorithms and tools to support Data Scientist’s machine learning solutions
Write efficient, testable, reusable codeTake ownership of ML infrastructure to support the development and deployment lifecycle of data science models.
Collaborate with Compliance operations, Product, Engineering and other stakeholders to develop appropriate data science solutions.
Partner with data scientists, data analysts to identify and execute new opportunities.

Required Skills, Knowledge and Experience

Bachelors, Masters or PhD in Computer Science, Physics, Engineering, Math or related field
3+ years industry experience in building and maintaining applications
Experience in defining system architectures and exploring technical feasibility trade-offs.
Familiarity with cloud native and distributed processing (for example Kubernetes)
Experience working with ML engineers to build tooling and automation to support the Data Science lifecycle, including experimentation to production operations
Excellent verbal and written communication skills

Nice to Have

Experience with big data cross platform file formats like Apache Parquet and Apache avro
Experience with AWS, e.g. S3, EMR, Lambda
Experience in Deep Learning frameworks such as TensorFlow or PyTorch

We’re powered by people from around the world with their own unique and diverse experiences. We value all Krakenites and their talents, contributions, and perspectives, regardless of their background.

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.