Sr Machine Learning Engineer
USA - CA - 1200 Grand Central Ave, United States
USD 141K-199K Senior-level Full Time
Tasks
- Analyze experimental results and support data-informed decisions
- Apply machine learning techniques to advertising use cases
- Build and scale machine learning architectures
- Contribute to engineering excellence through code and system design
- Design and maintain feature pipelines and feature stores
- Design implement and iterate on machine learning solutions
- Ensure models are observable debuggable and explainable in production
- Implement monitoring for model performance drift bias and system health
- Own model lifecycle including experimentation validation deployment monitoring and iteration
- Provide technical guidance through code reviews and design discussions
Perks/Benefits
- N/A
Skills/Tech-stack
Bias analysis | Cloud Native | Cloud-native infrastructure | Deep learning | Distributed Systems | Drift Detection | Feature Engineering | Feature Pipeline | Feature Store | High Throughput | High-Throughput Systems | Hugging Face | Java | Language Models | Large Language Models | Low Latency | Low-Latency Systems | Machine Learning | Machine learning monitoring | Model Bias | Model Bias Analysis | Model Drift | Model Drift Detection | Model Explainability | Multimodal Learning | Observability | Offline training | PyTorch | Python | Real Time | Real-time Inference | Retrieval-Augmented Generation | SQL | TensorFlow | Transformers
Education
Regions
Countries
States
Cities
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