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Описание вакансии
Текст:
TL;DR
Applied Research Scientist, AI Research (Generative AI): Building production generative video and audio models, multimodal understanding systems, and computer-vision-based editing capabilities with an accent on deep learning, generative media synthesis, and research-to-production delivery. Focus on designing and evaluating new algorithms, developing vision-language systems and voice-cloning models, and identifying research directions that become features used by creators.
Location: San Francisco, United States; hybrid or remote
Base salary: $261,625–$299,000 per year, plus equity and benefits.
Company
Descript is building an AI-powered video and audio editing tool for creators.
What you will do
- Build generative video and audio models for Video Regenerate, lip-sync, video translation, and other production features.
- Develop zero-shot voice and roomtone cloning from short reference recordings.
- Build multimodal vision-language systems and evaluation methods for agentic editing features.
- Work on computer-vision problems including digital human reconstruction and facial modeling.
- Research algorithms for media synthesis, speech enhancement, anomaly detection, and audio/video tagging.
- Identify research directions and take promising ideas from experiments to shipped product features.
Requirements
- Design and implement deep learning algorithms demonstrated through publications, open-source work, or shipped models.
- Strong programming skills and deep fluency in PyTorch and/or TensorFlow.
- Ability to generate, test, and evaluate machine learning ideas quickly with strong experimental judgment.
- PhD, Master's degree in deep learning or a related field, or equivalent experience.
- At least one of: lead or first authorship of an accepted publication at a top venue, or a key role in shipping a production feature centered on deep learning.
- Senior and Staff candidates should have experience owning research direction and mentoring or technically leading researchers or engineers.
Nice to have
- Experience with generative modeling for video, audio, or images.
- Experience with vision-language models and multimodal understanding.
- Experience in speech and audio modeling, including compression, enhancement, or synthesis.
- Experience building evaluations for generative or agentic outputs.
- Experience taking research ideas through to production-facing features.
Culture & Benefits
- Small, senior-heavy team with broad ownership from problem framing through experiments and analysis.
- Lean working style focused on clear technical communication and fast experimentation.
- Generous healthcare package and 401k matching program.
- Catered lunches and flexible vacation time.
- Remote work includes occasional opportunities for in-person collaboration; hybrid work offers flexibility around office attendance.
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