Senior Machine Learning Engineer
Tasks
- Architect build evolve large scale speech and natural language processing systems
- Design improve model architectures loss functions and decoding strategies
- Drive system level improvements in model performance robustness observability and operations
- Identify and resolve complex ambiguous issues in model behavior data quality and scaling
- Lead training fine tuning post training and inference strategies
- Mentor and review designs to elevate engineering standards
- Own end to end machine learning system lifecycle from research to deployment
- Partner with product and infrastructure teams to translate research into production
- Set technical direction and best practices for ML infrastructure data pipelines evaluation and deployment
Perks/Benefits
- N/A
Skills/Tech-stack
ASR | Cloud Computing | Computer Vision | Data Augmentation | Data Pipelines | Data Preprocessing | Decoding algorithms | Deep learning | Deployment Pipelines | Fine Tuning | JAX | LLM Inference | Language Models | Language Processing | Large Language Models | Loss Functions | ML system monitoring | Machine Learning | Model Evaluation | Model Fine-tuning | Model Training | Multimodal Learning | Natural Language | Natural Language Processing | Observability | PyTorch | Speech Recognition | System monitoring | TTS | Text to Speech
Education
Regions
Countries
States
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