Description:

At voize, we are revolutionizing the healthcare industry with AI, allowing nurses to document their work through voice, which our AI then processes to generate accurate entries.
This innovation saves each nurse an average of 39 minutes per day, enhances documentation quality, and makes their work more fulfilling.
Voize is YCombinator-funded, currently utilized in over 600 senior care homes, and has experienced a 100% growth in the last 90 days.
Our customers collectively save over 3.5 million hours annually, allowing more time for patient care rather than paperwork.
We are looking for a Senior Machine Learning Engineer with experience in NLP to work on product design, applied ML research, and MLOps.
The role involves building products based on direct user feedback, training AI models with real data, and deploying new features to production daily.

Requirements:

Candidates must have several years of experience in shipping models, particularly large language models (LLMs), into production.
Significant experience with deep learning frameworks, preferably PyTorch, is required.
Proven capability in training new models from scratch is essential.
Experience in speech recognition or NLP, including transformer models (TTS, STT), is necessary.
Engineering excellence with CI/CD tools, such as Docker and Kubernetes, is required.
German language skills are a bonus but not mandatory.

Employees will become co-creators of our success through virtual stock options.
The position is based in Berlin, with options for remote work.
Flexible working hours are offered to accommodate individual productivity preferences.
Access to various learning platforms, such as Blinkist and Audible, is provided.
Voize promotes an open culture with regular work weeks and team events for collaboration and bonding.
As a fast-growing startup, employees will face various challenges that foster rapid personal growth.
The work done will have a significant impact on alleviating the workload for healthcare professionals.
Benefits include a free Germany Ticket and Urban Sports Club membership.
Employees receive 30 days of vacation, plus an additional day off for their birthday.