We are currently looking for experienced professionals to join our teams working on data analysis, hypothesis creation, modeling, and experimentation in a collaborative international environment.
Our tech stack includes Go, Python, Scala, Spark, modern LLMs, PyTorch, Docker, Kubernetes, Airflow, MongoDB, Cassandra, Kafka, and Jenkins. The role involves writing production code capable of handling high loads.
The ideal candidate has strong algorithmic skills and proficiency in any programming language. Experience in developing and debugging distributed, high-load applications, and writing testable code is required.
Industry experience in Machine Learning is necessary, including familiarity with key modeling and training approaches, knowledge of statistics, and end-to-end ML development experience.
Preferred qualifications include:
* Experience in developing recommendation or search systems
* Experience training neural network models
* Experience working with various data sources: Spark, Cassandra, Mongo, Kafka
We offer flexible hours with remote work possibilities, care & wellbeing programs, relocation support, team & growth opportunities, community & engagement activities, and annual team building events.