Kineticsystems
Applied AI Intern
San Francisco · Intern · Internship
No sponsorshipDetected 33 days ago
Machine LearningPyTorchData EngineeringComputer VisionLogisticsRoboticsResearch
About the role
- As an Applied AI Intern, you'll help drive our research agenda towards advancing AI model capabilities for real-world healthcare tasks.
- You'll build novel evals and benchmarks to identify capability gaps in current models, publish academic papers, and post-train models to push the SOTA while staying grounded to the demonstrated needs of our healthcare partners.
Responsibilities
- Build and maintain data pipelines to transform raw human data into high-quality training and evaluation assets
- We will provide support to help relocate.
Requirements
- Have significant experience with PyTorch, HuggingFace, or similar libraries
- You must be in-person in SF for the duration of the internship.
- You must be authorized to work in the US (we support eVerify)
- You can start within the next month
Benefits
- Are interested in healthcare as an application (prior background not necessary)
- Develop novel evals, RL environments, and benchmarks to reflect real-world healthcare workflows
- Develop, train, and evaluate computer-use agents for complex healthcare interfaces
- Come from a research background (preference for MS or PhD) in at least one of these fields: Computer-Use Agents, Vision-Language Models, Computer Vision, Robotics, RL
Company info
- Kinetic Systems is an early-stage startup working at the intersection of computer-use agents, human data, and healthcare.
- Our mission is to advance the capabilities of frontier AI models on economically meaningful healthcare tasks by building novel datasets, environments, and models.
- We were founded in 2025 out of the Stanford PhD program and backed by Tier 1 VCs.
Visa & Work Authorization
- You must be authorized to work in the US (we support eVerify)
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