Do you want to work with state of the art computer vision technology that helps actual patients and hospital staff? Then you might be our new Data engineer Intern. Teton.ai is a well-funded, fast-growing startup, and we are assembling a killer team to build the future in health-tech. Our long-term goal is to revolutionize the hospital experience – and now we’re building the first generation of contactless and intelligent patient monitoring.
Who are you...
You are currently studying a bachelor or masters degree in computer science or similar - preferably database knowledge and deep learning computer vision models. You are proficient in several programming languages and love to create stuff.
Your role at Teton.ai... At Teton.ai, you will work directly with our engineering team, handling database task, writing tools to automate annotation processes by training DL models, annotate images, extracting useful data from our raw data using computer vision techniques to create datasets. You will be a part of creating our data engine and annotation pipelines in collaboration with our deep learning and robotics engineers. At Teton.ai you will be part of a smaller team and the assignments can vary in character – so it’s super important that you are self-driven and comfortable with jumping on a project and helping when need be.
As a Data Engineer intern at Teton.ai you will experience how it is to work at a fast paced startup working on something really technically challenging.
Set up Databases
Train deep learning models.
Build data pipelines.
Create annotations tools
Can code python, either you have experience with SQL or you will learn it.
What we offer:
You will be part of a real team with ambitious goals and a real spirit of innovation and development.
All full-time interns at Teton.ai will be paid what corresponds to SU - so you hopefully won't need a student job on the side and we probably provide the best lunch in town.
With us you will have an opportunity to truly impact the outcome of your work and the people it will affect.
The internship is from August to February 2022.