About this opportunity
Lumicity lists this Machine Learning Engineer opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
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.
#J-18808-Ljbffr
Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.