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. We recently ranked #1 on Artificial Analysis for Text-to-Speech models!
Working with audio is uniquely complex - arguably more so than text - 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. Your work will focus on the difficult research and engineering problems of building the engine for the next generation of AI-driven software.
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 United Kingdom
* Employment type: Full-time, permanent employment
Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role.
For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.