What You'll Be Doing:

Support the creation, maintenance, and optimization of our internal data, training & evaluation pipelines, primarily using Python.
Work closely with ML engineers to enhance tools and processes throughout the ML development lifecycle
Develop and implement evaluation tools such as automatic reporting, regression discovery
Work closely with cross-functional teams to orchestrate & facilitate the active learning workflow.
Participate in design reviews and code reviews of the said team-owned pipelines
Troubleshoot, debug, and optimize machine learning workflows for efficiency and performance

What We're Looking For:

2 years of professional software engineering experience
BS or MS in Computer Science or a related technical field.
Fluency in Python and familiarity with data processing libraries (e.g., NumPy, Pandas)
Basic Experience with backend development
Basic Experience in concurrency, parallel processing, and database systems.
Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing method

Bonus Points:

Expertise in concurrency, parallel processing, and database systems
Basic understanding of ML or perception metrics to support evaluation workflows
Strong knowledge of AWS analytics services, particularly AWS Athena and AWS Glue, including data cataloging, ETL development, and query optimization.
Experience with container orchestration tools, like K8s.
Experience with distributed computing frameworks, like Spark and Ray.
Proven track record of developing and deploying perception systems for autonomous vehicles or robotic

Software Engineer - Perception Platform