Staff / Principal Machine Learning Engineer, Speech - USA - Mountain View, CA, United States - Inworld AI

Description

Staff / Principal Machine Learning Engineer, Speech - USA
~ 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

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
The US base salary range for this full-time position is $220,000 - $350,000
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

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
The US base salary range for this full-time position is $220,000 - $350,000

We are 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.

You will be at the forefront of building a generative AI stack to power next-generation AI characters.
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.

Master's degree or PhD in speech synthesis/recognition or adjacent fields.

• and testing/launching software products.
• 1 year of experience in a technical leadership role leading project teams and setting technical direction.

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.

In-office location: Remote location: The US base salary range for this full-time position is $220,000 - $350,000. The Inworld platform lets you create characters with personality and contextual awareness to keep them in-world and in character.

Integrations make it easy for developers to deploy characters into immersive experiences, while scale and performance are optimized for real-time experiences.

We are a team of experts that have pioneered conversational AI platforms and generative models at Google and DeepMind.

We are continuing to build out our incredibly talented team, with experts in generative language models, emotions, speech synthesis, multimodal interaction, design, and 3D animation.

Inworld is backed by top-tier investors including Section 32, Intel Capital, BITKRAFT Ventures, Kleiner Perkins, Founders Fund, First Spark Ventures, The Venture Reality Fund, CRV, Meta, Microsoft's M12 fund, Micron Ventures, LG Technology Ventures, NTT Docomo Ventures, and SK Telecom Venture Capital.

Inworld was one of six companies selected for the 2022 Disney Accelerator.

Animoca Brands Co-Founder, Yat Siu; The Sandbox Co-Founder, Sebastien Borget and NaHCO3, the family office of Riot Games Co-Founder, Marc Merrill.

Software, Technology, Artificial Intelligence, Robotics, Data Science, Machine Learning, Data Analytics, Computer Software, Internet, Information Technology and Services
ML, AI, NLP, Metaverse, Gaming, SaaS, and Developer
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