Machine Learning Engineer, Apple Search & Knowledge Platforms
Tasks
- Build data pipelines and end to end ML pipelines
- Create human in the loop evaluation pipelines
- Deploy and maintain large scale distributed ML services
- Deploy and optimize LLM solutions
- Design ML systems for knowledge question answering
- Develop deep learning systems over graph data and web documents
- Evaluate model performance using user feedback
- Implement model monitoring observability and quality assurance
- Optimize ML systems for latency throughput and cost
- Run A/B testing and experimentation frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | CI/CD | Deep learning | Fine Tuning | Go | Knowledge graphs | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Observability | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Scala | Statistical Analysis | TensorFlow
Education
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