Staff ML - GenAI Engineer, Voice & Speech
Tasks
- Advise teams on ML patterns and tradeoffs
- Build internal AI platforms and products
- Build machine learning tooling and models
- Coach and mentor team members
- Design and develop machine learning infrastructure
- Develop event processing and platform extensions
- Develop scalable resilient data integration services
- Implement distributed cloud based functionality
- Translate product goals into engineering plans
- Write high-quality, performant, testable code
Perks/Benefits
Skills/Tech-stack
API Development | AWS | Audio Alignment | Audio Processing | Cloud Computing | Cloud platform | Configuration Management | Containers | DVC | Dagster | Data Annotation | Data integration | Distributed Systems | Event Processing | Fine Tuning | GKE | GitOps | Google Cloud | Google Cloud Platform | Inference Server | Infrastructure as Code | Jupyter | Kubeflow | Kubernetes | LLM Evaluation | Language Models | Large Language Models | MLflow | Machine Learning | Multi-tenancy | Multimodal Models | Observability | PostgreSQL | Postgres | PostgresSQL | Prompt engineering | Python | RAG | SDK development | Speech Recognition | Speech synthesis | Triton Inference | Triton Inference Server | “as-code”
Education
N/A
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