Linguistic Engineer
Tasks
- Build datasets
- Close feedback loop through assessment and iteration
- Collaborate with cross-functional teams
- Collaborate with stakeholders
- Create dataset pipelines
- Create rules and prompts
- Design product experiments
- Develop models and representations
- Drive improvements across data processes
- Evaluate model quality
- Evaluate product quality
- Execute product experiments
- Identify best practices for data systems
- Implement data patches
- Lead projects from concept to launch
- Manage multiple work streams
- Tackle ambiguous problems
Perks/Benefits
- N/A
Skills/Tech-stack
ASR | Data Analysis | Data Infrastructure | Data Pipelines | Dialog | Hack | Knowledge graph | Language Models | Large Language Models | Machine Learning | NLG | NLU | NoSQL Databases | Ontologies | PHP | Python | Relational databases | SQL | Scripting | TTS | Text Analytics | Unit Testing | Version control
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
Data Scientist | Engineer | Linguistic Engineer | Scientist | Software Engineer
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