TL;DR
Senior AI Engineer (Speech Modeling): Researching, building, and deploying production ML systems for AI-driven software with an accent on pushing the boundaries of speech modeling (STT & TTS). Focus on data collection, efficient training infrastructure, RL alignment environments, and ultra-low latency inference optimizations.
Location: Remote within Switzerland
Company
Inworld is a product-oriented research lab of top AI researchers and engineers, 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).
- Work with audio, addressing challenges from data collection to low latency inference.
- Integrate with systems used by thousands of developers.
Requirements
- Power user of AI agents for work automation.
- BA/BS, MS, or PhD in a technical field (CS, Math, Physics) with a strong foundation in Machine Learning.
- 3+ years of 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.
- Candidates must already have the legal right to work in Switzerland. Visa or work-permit sponsorship is not available for this role.
Nice to have
- A passion for learning and staying up-to-date with 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
- Full-time, permanent employment.
- Hiring model: Employment via Employer of Record (EOR).
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