ml engineer for speech recognition

voize builds AI companions that take over digital workflows for frontline workers, giving them more time to care and connect. More than 2,000 facilities and 200,000 users rely on its products.

• Take ownership of the design, training, evaluation, and deployment of deep learning models for speech recognition
• Improve speech models used across languages and products in real-world settings
• Engineer fast inference on mobile devices and hosted environments

• Several years of hands-on deep learning experience in speech recognition, including developing and optimizing ASR systems beyond academic research
• Strong foundation in STT system development for real-world applications
• Experience owning the end-to-end ML process, from concept and exploration through productionization, maintenance, monitoring, and optimization
• Experience shipping ML models to production using Python and PyTorch
• Strong software engineering skills, including clean code, tests, and guardrails

• Stock options
• 30 Vacation days plus your birthday off
• Germany Transport Ticket and Urban Sports Club
• Regular company off-sites
• Access to Blinkist and Audible learning platforms, plus free language courses
• Flexible working hours and a hybrid setup