Tech Stack
Job Description, Responsibilities & Requirements
About the Position
Staff / Principal Research Scientist - USA
Join Inworld, a leading AI research lab, as a Staff/Principal Research Scientist to develop state-of-the-art realtime voice models.
About Inworld
Inworld is a research lab of top researchers and engineers, building the world’s top-ranked realtime voice models. Today our models are the #1 ranked realtime voice models in the world. They are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience, and media; representing 100s of millions of end users. Our work spans areas like research and development of state-of-the-art models, optimizing realtime inference, and creating best-in-class APIs and products that allow developers to engage their users.
We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn’s Top 10 Startups in the USA.
Responsibilities
- Develop and optimize state-of-the-art realtime voice models
- Collaborate with cross-functional teams to integrate models into consumer-facing applications
- Conduct research and publish findings in top-tier conferences and journals
- Mentor junior researchers and contribute to the lab’s culture of innovation
Requirements
- Machine Learning: Expertise in developing and optimizing machine learning models
- Natural Language Processing: Strong background in NLP techniques and applications
- Research: Proven track record of conducting cutting-edge research in AI
- Deep Learning: Proficiency in deep learning frameworks and architectures
- Model Optimization: Experience in optimizing models for realtime inference
Nice to Have
- Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI
- PhD in ML/NLP or equivalent practical experience
- Public work: non-trivial AI side projects, interdisciplinary experiments, open-source contributions
We Offer
- Competitive base salary range: $270,000 - $500,000
- Performance-based bonus
- Equity options
- Comprehensive benefits package
- Relocation assistance
- Opportunity to work in our Mountain View office
About the Company
We believe in the power of in-person collaboration to solve the hardest problems and foster a strong team culture. We offer relocation assistance and look forward to you joining us in our Mountain View office.
The base salary range for this full-time position is $270,000 - $500,000 + bonus + equity + benefits.
Apply now to join our team and help shape the future of AI.