Senior Machine Learning Engineer II
Tasks
- Apply LLMs for synthetic data and assisted labeling
- Deploy low latency model inference services
- Design machine learning models for ad ranking
- Implement active learning strategies
- Maintain model performance reliability and latency in production
- Run machine learning experimentation and evaluation
- Translate product requirements into measurable ML improvements
- Use AI assisted tools for development debugging and analysis
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Bedrock | Active Learning | Assisted Labeling | Distributed Systems | Feature Engineering | Go | Langchain | Language Models | Large Language Models | Low Latency | Low-Latency Systems | Machine Learning | Model Evaluation | Offline evaluation | Online Inference | Online evaluation | Prompt engineering | Python | Synthetic data | Training pipelines | Vector Databases | Weak Supervision
Education
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