Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential selection making), ML infrastructure, or in a related Machine Learning (ML) field.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
Preferred qualifications:
Master's degree or PhD in Computer Science or a related technical field.
2 years of experience with data structures and algorithms.
Experience with machine learning, natural language processing (NLP), or Generative AI and large language models (LLMs).
Experience with building data processing pipelines with tools like Kafka, Apache Beam (e.g., Dataflow) or Spark.
Experience with Google Cloud Platform services (e.g., BigQuery, Google Kubernetes Engine, Pub/Sub).
Experience with time-series data and financial market data feeds.