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обновлено 2 месяца назад

Senior AI Engineer (Switzerland)

Формат работы
remote (только Switzerland)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Switzerland
Релокация
US

Описание вакансии

Текст:
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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).