Inworld AI is looking for a Senior AI Engineer to build the engine for the next generation of AI-driven software. Voice is a key interface for human-AI interaction, and you will focus on pushing the boundaries of speech modeling.

What You'll Do

Research, build, optimize, and deploy production ML systems for speech modeling (STT & TTS).
Solve challenges related to audio data collection, efficient training infrastructure, RL alignment environments, and ultra-low latency inference optimizations.
Work on the difficult research and engineering problems of building the engine for the next generation of AI-driven software.

What We're Looking For

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 Speech/Video processing, NLP, or Action planning.
Strong foundation in data structures, algorithms, and neural network architectures.
Proficiency with ML frameworks such as PyTorch.
Power user of AI agents for work automation.

Nice to 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.