Overview
Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 6 Month(s)
No Travel Required
Skills
Whisper
Python
PyTorch
ML framework
Job Details
Apply by Email/Direct Application at
Location: 100% Remote
Duration: 6+ Months
Overview:
seeking a highly specialized Machine Learning Engineer with hands-on experience working with Whisper, OpenAI s speech-to-text model. This role will focus on fine-tuning and training Whisper to improve transcription accuracy and performance across multilingual datasets, supporting mission to deliver world-class translation and interpretation services.
Key Responsibilities:
- Fine-tune and optimize Whisper for specific use cases and languages
- Analyze model performance and identify areas for improvement
- Collaborate with engineering teams to integrate Whisper into production workflows
- Apply broader ML techniques to enhance speech recognition and translation pipelines
- Recommend tools, frameworks, and best practices for scalable deployment
Qualifications:
- Proven experience with Whisper or similar speech-to-text models
- Strong background in machine learning, deep learning, and NLP
- Familiarity with audio processing and multilingual datasets
- Ability to work independently and communicate findings clearly
- Experience with Python, PyTorch, and ML frameworks preferred
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.