Staff / Principal Machine Learning Engineer/ Speech - USA

Staff / Principal Machine Learning Engineer, Speech - USABachelor’s degree in Computer Science, Engineering, or a similar technical field6+ 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 processingResponsibilitiesResearch and experiment with cutting edge ML techniques for TTS and STT applicationsDevelop and test production-grade training and inference pipelines for TTS and STT applicationsUnderstand optimization problems in the area of speech, signals, and natural language processingThe US base salary range for this full-time position is $220,000 - $350,000In addition to base pay, total compensation includes equity and benefitsQualificationsBachelor’s degree in Computer Science, Engineering, or a similar technical field6+ 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 processingResponsibilitiesResearch and experiment with cutting edge ML techniques for TTS and STT applicationsDevelop and test production-grade training and inference pipelines for TTS and STT applicationsUnderstand optimization problems in the area of speech, signals, and natural language processingBenefitsThe US base salary range for this full-time position is $220,000 - $350,000In addition to base pay, total compensation includes equity and benefitsWe 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.Minimum Qualifications...• 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.Preferred Qualifications• 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 year of experience in working with sourcing and curating speech datasets.• 1 year of experience in a technical leadership role leading project teams and setting technical direction.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.In-office location: Mountain View, CA, United States.Remote location: United States.The US base salary range for this full-time position is $220,000 - $350,000. In addition to base pay, total compensation includes equity and benefits. Within the range, 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.Inworld Jobs PrivacyCompany informationInworld is a Character Engine for AI NPCs that goes beyond LLMs – and adds contextual awareness and multimodal expression of personality.Inworld uses advanced AI to build generative characters whose personalities, thoughts, memories, and behaviors are designed to mimic the deeply social nature of human interaction. 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. Prominent angels include Twitch Co-Founder, Kevin Lin; Oculus Co-Founder, Nate Mitchell; 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 ServicesCompany Specialties:ML, AI, NLP, Metaverse, Gaming, SaaS, and Developer#J-18808-LjbffrOriginal job Staff / Principal Machine Learning Engineer/ Speech - USA posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.