Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. The company is looking for a Senior Machine Learning Engineer to advance model evaluation, measurement, and quality improvements, with particular emphasis on Automatic Speech Recognition (ASR) and downstream NLP systems.
Requirements
- Design, implement, and maintain evaluation frameworks to measure model accuracy, robustness, latency, and real-world performance across ASR and NLP systems.
- Lead ASR quality improvement efforts, including error analysis, dataset curation, metric definition (e.g., WER and task-specific metrics), and model iteration.
- Analyze large-scale speech and text data to identify failure modes and drive targeted model and data improvements.
- Develop, train, and deploy machine learning models for speech recognition and downstream tasks such as classification, entity recognition, information extraction, and structured insight generation.
- Partner with applied research to translate experimental improvements into production-ready systems.
- Collaborate with product managers, platform engineers, and UX teams to align model quality metrics with customer and business goals.
- Optimize ML pipelines and evaluation workflows to operate efficiently and reliably at scale.
- Establish best practices for model validation, offline/online evaluation, and continuous quality monitoring in production.
Benefits
- Comprehensive medical, dental, and vision coverage
- Flexible PTO
- Paid parental leave
- Retirement savings plan
- Remote work setup budget
- Monthly wellness and communication stipend
- In-office meal program
- Commuter benefits
