Senior AI Engineer (Speech Modeling)

TL;DR

Senior AI Engineer (Speech Modeling): Researching, building, optimizing, and deploying production ML systems for speech modeling with an accent on data collection, efficient training infrastructure, and ultra-low latency inference optimizations. Focus on pushing the boundaries of speech modeling (STT & TTS) and solving complex research and engineering problems.

Location: Remote within United Kingdom

Company

Inworld is a product-oriented research lab developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second.

What you will do

• Research, build, optimize, and deploy production ML systems.
• Focus on speech modeling (STT & TTS).
• Research and utilize ML ideas to achieve state-of-the-art results.
• Address challenges from data collection and efficient training infra to creating RL alignment environments and ultra-low latency inference optimizations.

Requirements

• 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.
• Candidates must already have the legal right to work in the United Kingdom. Visa or sponsorship is not available for this role.

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.

Culture & Benefits

• 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.