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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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 5 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- PyTorch
- TensorFlow
- Hugging Face
Benefits
Attraktive Vergütung
- 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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 5 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- PyTorch
- TensorFlow
- Hugging Face
Benefits
Attraktive Vergütung
- Equity
Über das Unternehmen
Cresta
Branche
IT
Beschreibung
Cresta helps contact centers unlock customer insights and automate processes using AI and human intelligence.
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- Perplexity
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Vollzeitnur vor OrtSeniorBerlin - Prior Labs
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