About the job
About Applied Intuition
We prioritize in-office collaboration and expect employees to work from their Applied Intuition office five days a week. However, we also value flexibility and trust our employees to responsibly manage their schedules, which may include occasional remote work, starting the day with morning meetings from home, or leaving earlier to accommodate family obligations.
About the Role
We are seeking infrastructure engineers with a strong background in machine learning pipelines, as well as ML engineers who are eager to extend their skills beyond modeling. This position will involve engagement across the complete ML lifecycle, including dataset generation, training frameworks, compute, evaluation, and deployment, collaborating closely with modeling teams. If you thrive on tackling broad and ambiguous challenges and enjoy working across the entire ML stack, this team is the perfect fit for you. At Applied Intuition, we encourage all engineers to take ownership of technical and product decisions, actively engage with both internal and external users to gather feedback, and contribute to a thoughtful, dynamic team culture.
At Applied Intuition, You Will:
- Design and implement distributed cloud GPU training strategies for deep learning model training and evaluation.
- Create comprehensive machine learning pipelines and integrate them into our core systems.
