Engineering Manager - Data Intelligence
As an Engineering Manager on the Data Intelligence team at Applied Intuition, you will lead a team of engineers dedicated to enhancing the production, curation, and utilization of high-quality data to advance autonomy development. Your team will focus on three primary areas: Data Quality, developing systems to measure and improve dataset integrity; Labeling Workflows, creating intelligent annotation pipelines that integrate human expertise with AI automation; and Data Mining, identifying rare, high-value driving scenarios from extensive multi-modal fleet data. You will set technical direction and team goals that align with model development, safety, and deployment milestones.
In this role, you will be responsible for growing and managing a team of engineers to deliver well-labeled data and identify critical edge cases for autonomy. You will prioritize development across data quality systems, intelligent labeling workflows, and large-scale data mining infrastructure. Additionally, you will lead the integration of foundation models, such as LLMs and VLMs, to automate and enhance labeling, quality assurance, and data discovery processes. Evolving the data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate machine learning iteration cycles will also be a key aspect of your responsibilities.
The ideal candidate will have over three years of engineering management experience and a passion for building and leading high-performing teams. Experience in building data quality systems, labeling pipelines, or annotation platforms at scale is essential. Familiarity with modern machine learning infrastructure and data-centric AI approaches, as well as an understanding of how foundation models can be applied to automate data workflows, are also required. A solid track record of building and deploying products is necessary.
Preferred qualifications include direct experience with foundation models for data automation tasks, a background in autonomous driving or robotics perception, experience with active learning, auto-labeling, or human-in-the-loop machine learning systems, and familiarity with 3D perception data such as camera, lidar, and radar.
Compensation for this full-time position includes a base salary ranging from $204,000 to $343,000 annually, along with equity in the form of options and/or restricted stock units. Benefits encompass comprehensive health, dental, vision, life, and disability insurance coverage, 401(k) retirement benefits with employer match, learning and wellness stipends, and paid time off. Please note that benefits are subject to change and may vary based on the jurisdiction of employment.