Staff / Principal AI Engineer (AI)

TL;DR

Staff / Principal AI Engineer (AI): Researching, building, optimizing, and deploying production ML systems for next-generation AI-driven software with an accent on pushing the boundaries of speech modeling (STT & TTS) and real-time multimodal models. Focus on solving difficult research and engineering problems in audio processing, data collection, efficient training infrastructure, and ultra-low latency inference optimizations.

Location: remote within Switzerland. Candidates must already have the legal right to work in Switzerland. Visa or work-permit sponsorship is not available for this role. 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.

Company

hirify.global is a product-oriented research lab developing best-in-class real-time multimodal models and an orchestration platform optimized for high query loads.

What you will do

• Research, build, optimize, and deploy production ML systems.
• Push the boundaries of speech modeling (STT & TTS).
• Solve difficult research and engineering problems in AI-driven software.
• Focus on challenges like data collection, efficient training infrastructure, RL alignment environments, and ultra-low latency inference optimizations.

Requirements

• PhD in a relevant technical field or BA/BS with equivalent research/engineering experience.
• 5+ years in software development (Python or C++) and applied ML engineering.
• Demonstrated experience in Machine Learning (Speech/video processing, NLP, Action planning).
• Strong foundation in data structures, algorithms, and neural network architectures.
• Proficiency with ML frameworks such as PyTorch.
• Professional working proficiency in English.
• Must have the legal right to work in Switzerland.
• Visa or work-permit sponsorship is not available.

Nice to have

• Passion for learning and staying up-to-date with ML/Voice AI research.
• 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 via Employer of Record (EOR).
• Work with a product-oriented research lab of top AI researchers and engineers.
• Opportunity to work on state-of-the-art results in Text-to-Speech models.
• Collaborative environment in a fast-paced setting.