A cutting-edge advertising technology firm in California is seeking a Machine Learning Engineer to build the infrastructure for autonomous agents. The role involves architecting data systems, collaborating with data scientists on MLOps, and creating user-facing applications. Ideal candidates should have a Master's or PhD in Computer Science, proficiency in Python, and experience with ML frameworks. This position offers competitive compensation and significant ownership of projects within a small, dynamic team.
Qualifications
Master’s or PhD's degree in Computer Science or related field, or a Bachelor's with 2+ years experience.
Strong proficiency in Python and clean coding practices.
Experience with ML frameworks or MLOps infrastructure.
Responsibilities
Build the Agent’s Operating System for managing and improving autonomous agents.
Architect the foundational data and signal platform.
Collaborate with data scientists to develop MLOps for model training.
Skills
Proficiency in Python
Experience with ML frameworks
System-level thinking
Product-minded engineering
Education
Master’s or PhD in Computer Science or related field
Bachelor's degree with 2+ years of experience
Tools
PyTorch
TensorFlow
Kubernetes
Job description
A cutting-edge advertising technology firm in California is seeking a Machine Learning Engineer to build the infrastructure for autonomous agents. The role involves architecting data systems, collaborating with data scientists on MLOps, and creating user-facing applications. Ideal candidates should have a Master's or PhD in Computer Science, proficiency in Python, and experience with ML frameworks. This position offers competitive compensation and significant ownership of projects within a small, dynamic team.