Related skills
pytorch hugging face transformers vector databases lora peft📋 Description
- Define the tech architecture and stack for AI-powered video creation.
- Evaluate generative AI video models, LLMs, and multimodal systems.
- Design end-to-end pipeline: input to inference and Roku APIs.
- Build prod-grade systems with error handling, validation, and guardrails.
- Collaborate with ML, backend, frontend, and creative teams.
- Drive technical decisions shaping quality, scalability, and time-to-market.
🎯 Requirements
- Bachelor’s degree in Computer Science or related field.
- Experience building video creative/ad generation systems.
- Strong understanding of generative AI video models and latency, cost, quality tradeoffs.
- Experience with LLM and multimodal pipelines (prompting, orchestration, error handling).
- Experience deploying ML systems in production (model serving, containerization, CI/CD, monitoring).
- Hands-on with PyTorch, Hugging Face Transformers/Diffusers, LoRA/PEFT, and vector databases for RAG.
🎁 Benefits
- Hybrid work: in-office Mon-Thu, Fridays remote.
- Global mental health and financial wellness resources.
- Healthcare, life, disability, commuter, and retirement options.
- Paid time off and local leave policies.
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