Machine Learning Engineer

Responsibilities

• Develop and improve NLP models for tasks such as medical summarization, credibility analysis, and contradiction detection
• Continuous improvement of our automatic transcription pipeline and automation of internal processes using AI
• Ensure high accuracy, stable processes, and optimized infrastructure/monitoring around the models
• Effectively communicate technical machine learning results in a business context
• Collaborate with our full-stack engineering team to ensure seamless implementation of ML models in production
• Promote excellence and best practices across the machine learning team in research, implementation, tooling, and system design
• Conceptualize and implement new ML ideas in the NLP domain, from validation to production

Qualifications

• Good communication and writing skills in English
• At least 3 years of experience in machine learning roles involving end-to-end ownership of projects
• Strong background in NLP; experience with ASR is a plus
• Advanced experience with PyTorch or other modeling toolkits
• Good understanding of software engineering principles
• Working experience with deep learning techniques, particularly in NLP applications
• Team spirit and independent problem-solving mindset
• Experience with or interest in legal or medical domain NLP applications is a plus…