Senior Machine Learning Engineer - (Platform)

Candidates should have 5+ years of experience in machine learning and software engineering, with proven expertise in designing, building, scaling, and maintaining production services focused on data processing, machine learning, or analytics. They must have hands-on experience with at least one ML model type such as LLMs, GNNs, Deep Learning, Logistic Regression, or Gradient Boosting Trees, and proficiency in areas like data mining, information retrieval, advanced statistics, natural language processing, or computer vision. The ability to write high-quality, well-tested code is essential, along with a passion for building an open financial system and exceptional communication skills. A Bachelor's, Master's, or PhD in a related technical field is preferred, as is proficiency with GenAI frameworks and tools like Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks.