Data Flywheel Engineer: Scale ML Infra & Pipelines

InvestedintheMission; Sunnyvale (CA); Hybrid; USD 125,000 - 222,000; Full time

Job summary

Applied Intuition is hiring a Data and Test Flywheel Engineer to build the systems that connect vehicle data collection, training, and automated model improvement. You will create the infrastructure for continuous learning from real-world and simulation data to speed up development across perception, planning, and control teams.

The role sits at the intersection of large-scale data engineering and ML infrastructure, collaborating with ML engineers and system developers to automate data

Qualifications

• Bachelor's degree or higher in Engineering such as Computer Science, Electrical Engineering, Software Engineering.
• 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).
• Interest in seeing the direct impact of your infrastructure work on how vehicles perform and improve.

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.
• Use your engineering expertise to help Applied Intuition’s vehicles learn from data at scale, improving safety and performance.
• Mentor junior engineers and contribute to defining best practices for data-centric development.

Skills

Python

Data-driven development

Systems thinking

Education

Bachelor's degree in Engineering/CS

Tools

Spark

Airflow

Kafka

Job description

Applied Intuition is hiring a Data and Test Flywheel Engineer to build the systems that connect vehicle data collection, training, and automated model improvement. You will create the infrastructure for continuous learning from real-world and simulation data to speed up development across perception, planning, and control teams.

The role sits at the intersection of large-scale data engineering and ML infrastructure, collaborating with ML engineers and system developers to automate data