Job Description

We’re seeking a highly skilled, hands-on Data Scientist with 4–10 years of experience in applied AI/ML to join our fast-paced team. This role requires deep expertise in transformer architectures and strong fundamentals in model training, fine-tuning, and optimization. You’ll work across modalities (text, audio, video), with the flexibility to specialize in one domain but the adaptability to experiment across others.

The ideal candidate thrives in a startup-style, high-velocity R&D environment, is execution-focused, and demonstrates ownership from architecture to deployment. You’ll run rapid experiments, iterate on state-of-the-art models, and push the boundaries of generative AI in lip-sync, character consistency, audio realism, and video quality — with a research-first, problem-solving mindset.


Responsibilities

  • Model Development & Fine-tuning: Run end-to-end experiments on transformer-based architectures (LLMs, Whisper, diffusion, LoRA, RLHF/SFT...

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