Related skills
speech python pytorch machine learning validation๐ Description
- Ship and own assessment ML systems end-to-end
- Build, deploy, and maintain scoring models/pipelines
- Own monitoring, regression tests, and ongoing iteration to maintain accuracy
- Define evaluation frameworks: metrics, test sets, offline/online analysis
- Translate assessment requirements into measurable acceptance criteria and guardrails
- Partner with the Assessment Design Lead to grow assessments into a core platform
๐ฏ Requirements
- Domain expertise in spoken language proficiency assessment
- Strong experience in evaluation and validation for assessment systems
- 4+ years building automatic proficiency assessment systems
- PhD is helpful but not required
- Proven ability to ship ML models to production (reliability, monitoring, iteration)
- ML/analysis skills: statistics, Python, PyTorch
๐ Benefits
- Global team with offices in SF, Ljubljana, Seoul, Tokyo; travel
- Global reach: 40+ countries and multiple markets
- Tight-knit culture with growth and learning opportunities
- Collaborative environment across Content/LD, PM, leadership
- Interact with users across regions and travel
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