Founding ML Engineer: Real-Time Speech Synthesis

Lumicity; San Francisco (CA); Hybrid; USD 170,000 - 200,000; Full time

Job summary

A pioneering startup in speech technology seeks a Founding ML Engineer to drive research and development in real-time speech synthesis. This role involves working with deep neural networks and deploying production-level models. Candidates should have a BSc or higher in a relevant field, along with experience in deep learning frameworks like PyTorch or TensorFlow. This is a unique opportunity to join at an early stage in a high-growth sector with competitive salary and equity options.

Qualifications

• Degree in Computer Science, Data Science, or related fields.
• Experience in implementing and training deep neural networks.
• Proficient in machine learning frameworks such as PyTorch, TensorFlow, or JAX.
• Familiarity with distributed ML frameworks like AWS SageMaker or Google Cloud API.
• Knowledge of speech data annotation tools.

Responsibilities

• Research-driven experimentation in ML technology.
• Develop and deploy production-level models.
• Contribute to the development of synthetic voice models.

Skills

Deep neural networks

Machine learning frameworks

AWS SageMaker

Google Cloud API

Speech data annotation tools

Education

BSc or higher in Computer Science, Data Science, Machine Learning

Job description

A pioneering startup in speech technology seeks a Founding ML Engineer to drive research and development in real-time speech synthesis. This role involves working with deep neural networks and deploying production-level models. Candidates should have a BSc or higher in a relevant field, along with experience in deep learning frameworks like PyTorch or TensorFlow. This is a unique opportunity to join at an early stage in a high-growth sector with competitive salary and equity options.