Senior Research Scientist in Woodside

About Inworld

At Inworld, we believe that the benefits of AI should extend beyond business workflows to the applications and experiences that we enjoy every day. We began by pushing the frontier of lifelike, interactive characters for games and entertainment, pioneering realtime conversational AI at scale. Today, we apply that expertise to provide the multimodal models, pipelines and tools needed to build and evolve consumer-scale, real-time voice AI applications across learning, health, social, assistants, games and media. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We have 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.

About the role

Voice is one of the key interfaces humans will interact with AI at scale. To make this reality, we are building the engine for the next generation of AI-driven software. Our primary focus is pushing the boundaries of speech modeling (STT & TTS). We approach this by researching and utilizing ML ideas that allow us to achieve state-of-the-art results. Working with audio is uniquely complex because the solution space for how a specific phrase can be spoken is effectively infinite. This creates a vast landscape of challenges, from data collection and efficient training infra to creating RL alignment environments and ultra-low latency inference optimizations. We are seeking a Senior Research Scientist to solve these challenges. You will be responsible for researching, building, optimizing, and deploying the production ML systems that thousands of developers integrate with their systems.

Qualifications

• Power user of AI agents for work automation
• A BA/BS, MS, or PhD in a technical field (CS, Math, Physics) with a strong foundation in Machine Learning.
• 3+ years of combined experience in software development (e.g. with Python or C++) and applied ML engineering.
• Demonstrated experience applying or researching Machine Learning in one or more of the following domains: Speech or video processing, Natural Language Processing (NLP), Action planning.
• Strong foundation in data structures, algorithms, and neural network architectures.
• Proficiency with ML frameworks such as PyTorch.

A good fit for this role may have:

• A passion for learning and staying up-to-date with the latest advancements in ML/Voice AI research and its applications.
• Ability to work collaboratively in a fast-paced environment with shifting priorities.
• Familiarity with pre-training, fine-tuning, RLHF and evaluation of large language and speech models.
• Knowledge of working with embedded systems and/or running ML on edge devices.
• Strong background in mathematics and/or physics.

Location & Employment

• Location: remote within UK
• Employment type: Full-time, permanent employment
• Hiring model: Employment via Employer of Record (EOR)

Candidates must already have the legal right to work in the UK. Visa or work-permit sponsorship is not available for this role. Optional relocation support to the United States may be available for candidates who are interested in relocating in the future and who meet applicable eligibility and immigration requirements.