Do you want to build a cutting-edge computer vision platform at an innovative pre-seed startup? Are you passionate about shaping the film industry with 3D generative video tech?
Is this the type of standout role you've been looking for?
This startup are transforming video production using AI-driven virtual environments. Their small but dynamic team of 8 brings a wealth of experience from both large tech companies and startups alike. With $2.8M in pre-seed funding, they are pioneering early-stage generative computer vision technology for iOS and web platforms, aimed at industries such as film/TV, music, events, education, and fashion.
They are currently seeking an experienced Data Engineer to handle computer vision data pipelines and database management.
Key Responsibilities:
- Overseeing ML training data QA pipelines for computer vision
- Creating synthetic data generation pipelines using Unreal Engine 5 API
- Designing and maintaining NoSQL database systems to streamline workflows
- Preparing and validating data for training computer vision models
- Tech stack: Python, GCP, Unreal Engine, MongoDB
Qualifications:
- 2-5+ years of experience in data engineering or architecture
- Proficiency in Python programming
- Experience with cloud services (GCP/AWS/Azure)
- Preferred: Background in computer vision, 3D, video processing, or neural graphics
Other Details:
- Flexible hybrid working model (3 days per week in the Sunnyvale office)
If this sounds interesting, please apply!
Big Cloud specializes in AI & Data Science recruitment, working with some of the world’s most exciting companies. While we aim to respond to all applicants, we may only get in touch if your application is successful.