Data Scientist II, ML Infrastructure

• Translate research-grade data science workflows into production ML pipelines
• Apply causal inference methods for high-stakes measurement questions
• Partner with ML engineers to improve tooling, metrics, and measurement methods
• Leverage metadata to build frameworks that enhance platform efficiency
• Design centralized ML platform tooling for model creation and trust

• 2+ years of applied experience in ML production as a scientist or engineer
• Proficient in Python, with experience in PyTorch or similar deep learning frameworks
• Passionate about building scalable tools that enhance ML organization impact
• Strong knowledge of ML theory and fundamentals
• Familiar with software development best practices including version control
• Experience with workflow management tools like Airflow or Jenkins
• Bachelor’s or Master’s degree in Computer Science or related field

• Equitable and inclusive workplace culture
• Opportunities for professional growth and collaboration
• Work flexibility with occasional in-office requirements

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification-your background could be exactly what this team needs.