Senior Machine Learning Engineer (Remote)

POWERING CRYPTO WITH DATA

CoinMarketCap is the world’s most trusted and accurate source of data for cryptocurrencies. Used by millions of individuals, organizations, and exchanges, CoinMarketCap brings the most up-to-date market capitalizations, pricing, and cryptocurrency information to our users.

Pulling data from multiple exchanges and combining our robust research allows us to provide the most realistic representation of each cryptocurrency. As we grow, we will continue to provide access to our data wherever, whenever, and however is most helpful to our users.

CREATING AN OPEN WORLD

Our mission is to be the world’s authority on cryptocurrency data. We believe in an open and decentralized world, where we play a pivotal role in powering decisions and insights to drive greater understanding and adoption of cryptocurrencies. We want to achieve this mission with people who truly believe in the value and potential of empowering individuals.

Job Description

• Design, build and deploy recommendation systems .
• Anomaly detection to identify bot traffic.
• Set up and maintain real-time and batch data pipelines.

Qualifications

• Bachelor or Masters in Computer Science Engineering or related fields.
• 4+ years in developing and deploying data pipelines for both real-time and scheduled jobs.
• 2+ years in developing and deploying recommendation/feed systems that that powers the “for you” feed, “following” feed, etc.
• Working proficiency with Python, SQL, and/or Java.
• Experience with cache databases (E.g. Redis, MongoDB).
• Experience with job schedulers (E.g. Airflow).
• Familiar with message queue systems (E.g. Kafka, Pub/Sub).
• Experience in using Cloud service (GCP, AWS, or Azure) is a plus.
• Knowledge of the cryptocurrency ecosystem and on-chain data is a plus.

Additional Information

Working at CoinMarketCap

• Do something meaningful; Be a part of the future of finance technology and the leading company in the industry
• Fast moving, challenging and unique business problems
• International work environment, flat organization, flexible working hours
• Great career development opportunities in a growing company
• Possibility for relocation and international transfers mid-career
• Competitive salary

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