Machine Learning Engineer

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

Hybrid - San Francisco - $170k - $200k plus equity.

This early-stage Speech Technology startup is developing the next wave of ML technology in the real-time speech synthesis sector. They have developed a low-latency range of synthetic voice models for use in the B2B sector that are more natural sounding and versatile than the larger generalist models being developed.

As their Founding ML Engineer, you will be a key team member, undertaking research-driven experimentation and developing and deploying production-level models.

Some of the experience required includes:

• BSc or higher in Computer Science, Data Science, Machine Learning etc.
• Experience implementing and training deep neural networks.
• Proficiency with machine learning frameworks such as PyTorch, TensorFlow, JAX etc
• Familiarity with large, distributed ML frameworks - AWS SageMaker, Google Cloud API
• Knowledge of speech data annotation tools.

This is a fantastic opportunity to get in at the ground level in a high-growth sector with a solid salary and early-stage equity package.

If you are experienced in audio or speech-based AI technology, please send your resume now.