20 days ago
Remote, United KingdomSenior / Mid Level
H1B Sponsor
Responsibilities
- Design, implement, and maintain evaluation frameworks for ASR and NLP systems.
- Lead ASR quality improvement efforts, including error analysis and dataset curation.
- Analyze large-scale speech and text data to identify failure modes.
- Develop, train, and deploy machine learning models for speech recognition and related tasks.
- Collaborate with applied research to translate improvements into production systems.
- Work with product managers and engineers to align model quality metrics with business goals.
- Optimize ML pipelines and establish best practices for model validation.
Requirements
- Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field.
- 5+ years of hands-on experience building and deploying ML models in production.
- Strong background in speech recognition (ASR) and speech processing.
- Deep experience with model evaluation, benchmarking, and error analysis.
- Proficiency with ML frameworks and libraries like PyTorch and TensorFlow.
- Solid understanding of modern ML techniques, including transformer-based models.
- Experience building data pipelines for large-scale experimentation.
Tech Stack
PyTorchTensorFlow
Categories
AI & MLData Science