Voice AI Engineering Principal (AI)

TL;DR

Voice AI Engineering Principal (NLP): Leading the research, design, and engineering of next-generation Voice AI solutions, including noise-robust multilingual ASR, neural TTS, and advanced QA dialog systems. Focus on driving collaboration across research scientists, software engineers, and product teams to transform advanced AI models into robust, scalable production systems.

Location: Must attend the local office in Berlin, Germany or London, United Kingdom for part of the week; specific in-office schedule is to be determined by the hiring manager.

Company

hirify.global's customer experience software unlocks the power of billions of interactions, enabling businesses to build rich, meaningful relationships with their customers.

What you will do

• Lead the research, design, and engineering of next-generation Voice AI solutions using state-of-the-art pretrained models.
• Build, mentor, and scale a high-performing AI/ML engineering team, fostering an innovative, research-driven culture.
• Drive collaboration across research scientists, software engineers, and product teams to transform AI models into robust, scalable production systems.
• Oversee large-scale AI research and development projects, ensuring delivery of high-quality, real-world solutions.
• Architect and implement AI models leveraging deep learning algorithms across speech and NLP pipelines.
• Champion best practices in software development, including CI/CD, code reviews, and version control.

Requirements

• Passionate about the frontiers of AI/ML and driven to apply breakthrough technologies to real-world voice and language problems.
• Proven expertise developing and applying speech and NLP models using DL frameworks such as PyTorch, TensorFlow, Keras, and Huggingface Transformers.
• Deep knowledge of AI architectures including DNN, CNN, RNN, Transformers, and experience fine-tuning large pre-trained models.
• Skilled in programming languages and tools including Python, C++, Java, R, Linux/Shell scripting, with strong engineering discipline in software development lifecycle.
• Demonstrated leadership in building and guiding AI/ML teams, through complex research and engineering challenges.
• Experience deploying voice AI systems in production, including ASR, diarization, TTS, NMT, and dialog systems with a focus on noise robustness and multilingual capabilities.

Culture & Benefits

• Hybrid work environment with a mix of onsite and remote work.
• Opportunities for connection, collaboration, learning, and celebration with your team.
• Offices reflect the global cities hirify.global calls home, with spaces for collaboration, quiet, and events.
• Fulfilling and inclusive experience for all people.
• Commitment to global diversity, equity, & inclusion in the workplace.