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Senior Machine Learning Engineer(m/w/x)
Designing evaluation frameworks for ASR/NLP systems and deploying ML models for speech/text classification in contact centers. Master's or Ph.D. in Computer Science or related field required. Equity compensation included.
Requirements
- Master’s, Ph.D. in Computer Science, or related field
- Experience building and deploying production ML models
- Background in speech recognition or related domains
- Experience with model evaluation and error analysis
- Proficiency with ML frameworks and libraries
- Understanding of modern ML and transformer models
- Experience building data pipelines and tooling
- Passion for improving production-grade AI quality
Tasks
- Design and maintain evaluation frameworks for ASR and NLP systems
- Lead ASR quality improvements through error analysis and dataset curation
- Define quality metrics like WER and task-specific benchmarks
- Analyze large-scale speech and text data to identify failure modes
- Develop and deploy ML models for speech and text classification
- Extract entities and generate structured insights from data
- Translate experimental research into production-ready systems
- Align model quality metrics with customer and business goals
- Optimize ML pipelines and evaluation workflows for scale
- Establish best practices for continuous quality monitoring in production
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- TensorFlow
- Hugging Face
Benefits
Competitive Pay
- Equity
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Senior Machine Learning Engineer(m/w/x)
Designing evaluation frameworks for ASR/NLP systems and deploying ML models for speech/text classification in contact centers. Master's or Ph.D. in Computer Science or related field required. Equity compensation included.
Requirements
- Master’s, Ph.D. in Computer Science, or related field
- Experience building and deploying production ML models
- Background in speech recognition or related domains
- Experience with model evaluation and error analysis
- Proficiency with ML frameworks and libraries
- Understanding of modern ML and transformer models
- Experience building data pipelines and tooling
- Passion for improving production-grade AI quality
Tasks
- Design and maintain evaluation frameworks for ASR and NLP systems
- Lead ASR quality improvements through error analysis and dataset curation
- Define quality metrics like WER and task-specific benchmarks
- Analyze large-scale speech and text data to identify failure modes
- Develop and deploy ML models for speech and text classification
- Extract entities and generate structured insights from data
- Translate experimental research into production-ready systems
- Align model quality metrics with customer and business goals
- Optimize ML pipelines and evaluation workflows for scale
- Establish best practices for continuous quality monitoring in production
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- TensorFlow
- Hugging Face
Benefits
Competitive Pay
- Equity
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Cresta
Industry
IT
Description
Cresta helps contact centers unlock customer insights and automate processes using AI and human intelligence.
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