Description:

The Senior Machine Learning Engineer will design, build, and deploy recommendation systems.
The role involves anomaly detection to identify bot traffic.
The engineer will set up and maintain real-time and batch data pipelines.

Requirements:

A Bachelor or Master's degree in Computer Science Engineering or related fields is required.
The candidate must have 4+ years of experience in developing and deploying data pipelines for both real-time and scheduled jobs.
A minimum of 2+ years of experience in developing and deploying recommendation/feed systems that power features like the "for you" feed and "following" feed is necessary.
Working proficiency with programming languages such as Python, SQL, and/or Java is required.
Experience with cache databases, such as Redis or MongoDB, is essential.
Familiarity with job schedulers, like Airflow, is required.
The candidate should be familiar with message queue systems, such as Kafka or Pub/Sub.
Experience using cloud services (GCP, AWS, or Azure) is a plus.
Knowledge of the cryptocurrency ecosystem and on-chain data is also a plus.

Employees will have the opportunity to do something meaningful and be part of the future of finance technology with a leading company in the industry.
The position offers fast-moving, challenging, and unique business problems to solve.
The work environment is international, with a flat organization and flexible working hours.
There are great career development opportunities in a growing company.
The company offers the possibility for relocation and international transfers mid-career.
A competitive salary is provided.