Remote Staff / Principal Machine Learning Engineer, Speech

Description:

Inworld is seeking Staff and Principal Machine Learning Speech Engineers with extensive experience in R&D of text-to-speech (TTS) and speech-to-text (STT) technologies.
The role involves building a generative AI stack to power next-generation AI characters.
Responsibilities include researching and experimenting with cutting-edge ML techniques for TTS and STT applications, developing and testing production-grade training and inference pipelines, understanding optimization problems in speech, signals, and natural language processing, and collaborating with cross-functional teams to integrate speech technologies into products.
The position is available in Mountain View, CA, and also offers remote work options within the United States.

A Bachelor’s degree in Computer Science, Engineering, or a similar technical field is required.
Candidates must have 6+ years of experience with software development in one or more programming languages, machine learning algorithms and tools (e.g., PyTorch), artificial intelligence, deep learning, and/or natural language processing.
Excellent problem-solving skills and the ability to work independently and as part of a team are essential.
Preferred qualifications include a Master's degree or PhD in speech synthesis/recognition or adjacent fields, 5+ years of experience with design and architecture, and testing/launching software products, 1+ years of experience in sourcing and curating speech datasets, 1+ years of experience in a technical leadership role, and 1+ years of experience in building end-to-end speech processing systems and real-time applications.

The US base salary range for this full-time position is $240,000 - $385,000, with total compensation including equity and benefits.
Individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs.
The base pay range is subject to change and may be modified in the future.