Principal Voice AI Engineer

TL;DR

Principal Voice AI Engineer (AI/ML): Leading the development and deployment of AI/ML technologies focused on Speech and Natural Language Processing (NLP) to shape voice-enabled customer experiences. Focus on Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Large Language Models (LLM), and voice conversational systems.

Location: Must attend our local office in Berlin or London for part of the week.

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 including noise-robust multilingual ASR, neural TTS, and advanced QA dialog systems fine-tuned with state-of-the-art pretrained models (e.g., BERT, GPT).
• Drive collaboration across research scientists, software engineers, and product teams to transform advanced AI models into robust, scalable production systems.
• Oversee large-scale AI research and development projects, ensuring delivery of high-quality, real-world solutions optimized for diverse tasks and computing environments.
• Architect and implement AI models leveraging deep learning algorithms such as DNNs, CNNs, RNNs, and Transformer-based architectures across speech and NLP pipelines.
• Champion best practices in software development, including CI/CD, code reviews, version control (Git), and refactoring to support efficient and maintainable codebases.
• Collaborate with stakeholders to define technical vision, roadmap, and strategy for voice AI products that deliver superior user experiences and business impact.

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, with extensive hands-on experience 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 (e.g., BERT, GPT).
• Skilled in programming languages and tools including Python, C++, Java, R, Linux/Shell scripting, with strong engineering discipline in software development lifecycle.
• Experience deploying voice AI systems in production, including ASR, diarization, TTS, NMT, and dialog systems with a focus on noise robustness and multilingual capabilities.
• Hold an M.S. in Engineering, Computer Science, or a related field, with a strong foundation in machine learning, speech processing, and on-device AI for real-time and low-power applications.

Nice to have

• Background in developing AI-driven speech technologies for complex domains such as autonomous pilot systems or court reporting.

Culture & Benefits

• Hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week.
• Our offices reflect the global cities we call home, and have spaces for collaboration, quiet, and events.
• hirify.global believes in offering our people a fulfilling and inclusive experience.