About the job
About Applied Intuition
We are primarily an in-office company, with an expectation that employees work from their Applied Intuition office five days a week. However, we value flexibility and trust our employees to manage their schedules responsibly, which may include occasional remote work, starting the day with morning meetings from home, or leaving early to accommodate family commitments.
About the role
We are seeking skilled infrastructure engineers with a strong background in machine learning pipelines, as well as ML engineers eager to expand their expertise beyond modeling to join our AI Infrastructure team. This role involves engaging with all phases of the AI lifecycle, including dataset generation, training frameworks, computation, evaluation, and deployment, while collaborating directly with modeling teams. This team is ideal for individuals who thrive on tackling broad, ambiguous challenges and are excited to contribute across the entire ML stack. At Applied Intuition, we empower all engineers to take ownership of technical and product decisions, actively engage with both external and internal users for feedback, and foster a vibrant, collaborative team culture.
At Applied Intuition, you will:
- Design and build training, inference, and evaluation infrastructure to bolster our current autonomy stack development, orchestrating extensive GPU clusters to process petabytes of multimodal sensor data.

