Staff / Principal Machine Learning Engineer, Speech
Description For Staff / Principal Machine Learning Engineer, Speech
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. In this role, you will be at the forefront of building generative AI stack to power next-generation AI characters.
Inworld is the best-funded startup in AI and games with a $500 million valuation and backing from top tier investors including Intel Capital, Microsoft's M12 fund, Lightspeed Venture Partners, Section 32, BITKRAFT Ventures, Kleiner Perkins, Founders Fund, and First Spark Ventures.
Inworld's suite of AI components enables developers to build interactive, responsive, and personalized AI gaming experiences, orchestrate models to create intelligent game behaviors, and unlock enhanced productivity with AI-generated content. Inworld powers experiences built by Ubisoft, NVIDIA, Niantic, NetEase Games and LG, among others, and has partnerships with key industry players such as Microsoft Xbox, Epic Games, and Unity.
Inworld was recognized by CB Insights as one of the 100 most promising AI companies in the world in 2024 and was also named among LinkedIn's Top Startups of 2024 in the USA.
Responsibilities:
- Research and experiment with cutting edge ML techniques for TTS and STT applications.
- Develop and test production-grade training and inference pipelines for TTS and STT applications.
- Understand optimization problems in the area of speech, signals, and natural language processing.
- Collaborate with cross-functional teams to integrate speech technologies into products.
Join Inworld to be part of a leading AI company in the gaming and interactive media industry, working on cutting-edge speech technologies and shaping the future of AI-powered characters.
Responsibilities For Staff / Principal Machine Learning Engineer, Speech
- Research and experiment with cutting edge ML techniques for TTS and STT applications
- Develop and test production-grade training and inference pipelines for TTS and STT applications
- Understand optimization problems in the area of speech, signals, and natural language processing
- Collaborate with cross-functional teams to integrate speech technologies into products
Requirements For Staff / Principal Machine Learning Engineer, Speech
- Bachelor's degree in Computer Science, Engineering, or a similar technical field
- 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
- Master's degree or PhD in speech synthesis/recognition or adjacent fields (preferred)
- 5+ years of experience with design and architecture, and testing/launching software products (preferred)
- 1+ years of experience in working with sourcing and curating speech datasets (preferred)
- 1+ years of experience in a technical leadership role leading project teams and setting technical direction (preferred)
- 1+ years of experience in building end-to-end speech processing systems and real-time applications (preferred)
Benefits For Staff / Principal Machine Learning Engineer, Speech
- Equity
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