Data & ML Pipeline Software Engineer at Appliedintuition

Appliedintuition

Sunnyvale, California, United States·6h ago

Mid LevelFull-timePythonRustAWSMachine LearningGitAIML

Salary Range

$102,000 - $138,000 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Data and Test Flywheel Engineer to join Applied Intuition’s data flywheel initiative. This role involves building systems that connect vehicle data collection, training, and automated model improvement to enable our autonomous driving stack to continuously learn from real-world and simulation data.

Key Responsibilities

→Build and maintain large-scale data processing pipelines (ETL) for ingesting and curating driving datasets.
→Design and implement systems that automate data selection, labeling, training, and testing loops.
→Collaborate with modeling teams to improve training efficiency and model performance across iterations.
→Develop the core infrastructure that closes the loop between real-world test results and new model deployments.
→Mentor junior engineers and contribute to defining best practices for data-centric development.

Requirements

✓3–5 years of experience in software or data infrastructure engineering.
✓Expertise in building and scaling data pipelines, distributed systems, or ML infrastructure.
✓Proficiency in Python and strong knowledge of data frameworks (Spark, Airflow, Kafka, etc.).
✓Experience working with large-scale datasets and understanding data-driven development cycles.
✓Familiarity with machine learning workflows or model training/deployment, especially automation of those processes.
✓Strong systems thinking and ability to work across multiple parts of the stack (data, infra, and ML).