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Описание вакансии
Текст:
TL;DR
ML Engineer (AI): Designing and automating evaluation pipelines for speech and multimodal models with an accent on ensuring model honesty in production. Focus on scaling training and inference for LLM-class workloads and deploying state-of-the-art voice models.
Location: New York, San Francisco, Bellevue
Compensation Range: $190K - $320K
Company
Sesame is focused on creating lifelike computers that integrate voice companions into daily life.
What you will do
- Design, build, and automate evaluation pipelines for speech and multimodal models.
- Create tooling for safe, versioned, privacy-aware dataset curation.
- Prototype, train, and deploy voice models for real-time companion experiences.
- Scale training and inference for LLM-class workloads.
- Implement monitoring and live evaluations to surface quality regressions.
- Move quickly from ideas to production while maintaining quality.
Requirements
- Expert-level PyTorch experience.
- Proven software engineering skills with a focus on ML.
- Hands-on experience with large language models.
- Expertise in designing evaluation metrics.
- Deep knowledge of the ML lifecycle.
- History of shipping complex user-facing ML projects.
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