A leading autonomous technology company based in California seeks an experienced engineer to develop importance sampling techniques for evaluation pipelines. You will collaborate with teams to optimize objectives and drive data-driven decisions. Ideal candidates will have over 5 years of experience in navigating complex codebases with strong proficiency in C++, Python, and SQL. A BS or PhD in a quantitative field is preferred, along with skills in statistical analysis and building data processing pipelines.
Qualifications
5+ years of experience navigating a large code base.
Experience with statistical analyses.
Proven track record of building data processing pipelines.
Responsibilities
Develop importance sampling techniques for evaluation pipelines.
Find signals in logs to efficiently discover rare events.
Collaborate with engineers and data scientists to deliver evaluation products.
Skills
Fluency with probability and statistics
Strong self-motivation
Navigating large codebases
Statistical analyses
Building data processing pipelines
Education
BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
PhD in a quantitative field
Tools
C++
Python
SQL
Job description
A leading autonomous technology company based in California seeks an experienced engineer to develop importance sampling techniques for evaluation pipelines. You will collaborate with teams to optimize objectives and drive data-driven decisions. Ideal candidates will have over 5 years of experience in navigating complex codebases with strong proficiency in C++, Python, and SQL. A BS or PhD in a quantitative field is preferred, along with skills in statistical analysis and building data processing pipelines.