Would you like to shape a computer vision platform at an exciting pre-seed start-up?
Are you interested in a cross-functional team working across AI and 3D generative video?
Do you want to build a product with real-time feedback from industry partners?
This start-up is revolutionizing video through AI-powered virtual environments. They're a dynamic team of 8, with a depth of big tech and start-up product experience. They have $2.8M in pre-seed funding. The team are architecting early-stage cutting-edge generative computer vision technology for iOS and web platforms that serve film/TV, music, events, education, and fashion industries.
They're looking for an experienced Data Engineer to manage computer vision data pipelines and database integration.
Responsibilities
- Managing computer vision ML training data QA pipelines
- Developing synthetic training data generation pipelines using Unreal Engine 5 API
- Building and monitoring NoSQL database systems for workflow optimization
- Processing and validating data for computer vision model training
- Tech stack: Python, GCP, Unreal Engine, MongoDB
Requirements
- 2-5+ years of data engineering/architecture experience
- Strong Python programming skills
- Proven experience with cloud services (GCP/AWS/Azure)
- Bonus: Background in computer vision, 3D, video processing, or neural graphics
Further details:
Flexible hybrid schedule (3 days/week in Sunnyvale office)
If you're interested in the above, please apply.
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