
Multimodal AI Infrastructure Specialist
2 weeks ago
We are seeking an engineer with strong expertise across machine learning, data science, and computer science to help us build core AI infrastructure.
This role combines model evaluation, data analysis, and scalable system design, with a focus on orchestration, ranking, and data-driven optimization across multimodal workflows.
The ideal candidate will have:
- Strong foundation in data science (mandatory)
- Experience in 4–5 AI/ML projects (end-to-end, not just experimental)
- Hands-on expertise in Audio Analysis and Computer Vision (priority)
Responsibilities include:
- Design and implement end-to-end ML pipelines for data gathering, analysis, and insights
- Build data analysis layers for performance tracking and reusable asset creation
- Develop ranking, scoring, and risk estimation frameworks for multimodal outputs
- Integrate and benchmark LLMs, VLMs, and generative models (image, audio, video)
- Build APIs and services to support asset reuse and human-in-the-loop workflows
- Optimize for compute efficiency, caching, and reproducibility
Why Join Us?
- Work with cutting-edge multimodal AI models
- Help shape the future of storytelling technology
- Join a fast-growing, mission-driven startup
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