3 hours ago
Base Salary
$162k - $260k/yr
Responsibilities
- Build and scale evaluation pipelines for comparing model versions on large driving datasets, including offline evaluations, slice-based metrics, regression detection, and model reports.
- Own embedding-generation and vector-search pipelines over versioned driving data.
- Build model introspection infrastructure using attention, attribution, and ablation techniques.
- Help apply LLMs, VLMs, and agentic workflows to analysis, labeling, clustering, and summarization of driving scenarios and evaluation results.
- Partner with ML engineers to define trustworthy, observable, and cost-efficient measurements for candidate models.
- Build web applications and CLI tools for engineers and AI agents to discover datasets, training runs, evaluations, and costs.
Requirements
- Typically 5+ years of professional software engineering experience building backend, data, or ML infrastructure.
- Strong Python and proficiency with SQL.
- Experience designing and operating large-scale batch or data pipelines on cloud infrastructure, including backfills, retries, and cost management.
- Experience building systems that measure or evaluate something, such as metrics, experimentation, evaluation, or analytics platforms.
- Experience with distributed compute and container orchestration, such as Kubernetes or AWS Batch.
- Preferred experience with ML evaluation infrastructure, embeddings and vector search, model introspection and interpretability tooling, LLM/VLM or agentic workflows, autonomous vehicles or robotics, large-scale sensor data, data-system observability, and AI coding agents.
Benefits
- Eligible for an annual bonus, equity compensation, and benefits.
- Expected to work from the office at least 3 days per week, with some roles requiring up to 5 days based on operational needs.
- Aurora provides reasonable accommodations for qualified applicants with disabilities and disabled veterans.
Tech Stack
Categories
About Aurora
Aurora builds the Aurora Driver, a self-driving system for heavy-duty trucks, and offers it as a driver-as-a-service to freight carriers. The company partners with truck OEMs and logistics networks, including Volvo Trucks, PACCAR, FedEx, Uber Freight, Werner, Schneider, and Ryder, to commercialize autonomous freight hauling. Founded in 2017 and headquartered in Pittsburgh, Aurora is a public company trading on Nasdaq under the symbol AUR.