Senior Applied ML Scientist

Palo Alto, California

  Data Science

Permanent

Our client is cutting-edge startup that is transforming the way we communicate with revolutionary real-time algorithms! They are on a mission to set a gold standard in communication technology with groundbreaking GDP-shifting technology modulates accents, eliminates background noises, and magnifies speech clarity, initially focusing on elevating customer experience centers.

Responsibilities:

  • Design and implement algorithms independently, training state-of-the-art models and evaluating performance on large datasets.
  • Research cutting-edge approaches to address unsolved problems in speech and audio generative AI.
  • Take end-to-end ownership of the model, from data collection to cloud-based training.
  • Collaborate in a cross-functional team of engineers, linguists, and scientists to drive innovation.
  • Provide thought leadership for the team, shaping the future of accent-translation technology.

Qualifications:

  • Bachelor’s or Master’s Degree in Computer Science, Engineering, or related field.
  • 2+ years of hands-on industry experience in developing and implementing text-to-speech, voice conversion, speech restoration, speech translation, and accent translation systems.
  • Proven experience in software engineering, proficiency in machine learning libraries (PyTorch, TensorFlow), and familiarity with Python and shell scripts.
  • Experience with cloud-based technologies (AWS, GCP, Azure) and deep learning training with GPUs.

Preferred Experience:

  • PhD in Artificial Intelligence, related field, or equivalent practical experience.
  • Proven track record contributing to scalable, commercial machine learning models in production.
  • Demonstrated results through publications in leading workshops, journals, or conferences (ICASSP, INTERSPEECH, etc.).
  • Experience with cloud infrastructure underlying ML training (Docker, Kubernetes, etc.).

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