ML Engineer, I - MLOps Framework
Core
Provide on-call MLOps support to model development teams, triaging pipeline issues and maintaining the ML ecosystem for autonomous trucking.
Role type
MLOps Engineer (Autonomous Driving)
Builds
Model development pipelines and operational infrastructure for automated trucks
Domain
Autonomous driving / Trucking / MLOps
Deliverable
infrastructure
Required skills
Python, PyTorch, MLOps tooling (CI/CD, monitoring, logging, orchestration), debugging, problem-solving
Preferred skills
Large sensor data processing (MCAP, Parquet, PyArrow, Daft), distributed compute (Ray, Anyscale, AWS Sagemaker), Infrastructure-as-code (Terraform), edge deployment, autonomous driving workflows
Technologies
Python, PyTorch, MCAP, Parquet, PyArrow, Daft, Pandas, Ray, Anyscale, AWS Sagemaker, Terraform
Responsibilities
Provide on-call MLOps support for model development teams; Triage and resolve pipeline issues; Debug model development workflows and identify root causes; Collaborate with senior engineers to improve tooling and operational processes
Seniority
Junior to Mid-level, hands-on IC
