Machine Learning Engineer

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, Tensor Flow, JAX etc

• Familiarity with large, distributed ML frameworks - AWS Sage Maker, 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.

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