Principal Engineer — Machine Learning
USA - California - San Jose - Corp - N First St, United States
R
USD 242K-359K Senior-level Full Time
Tasks
- Build experiment infrastructure
- Build feature stores
- Build model serving systems
- Collaborate to integrate ML into products
- Define machine learning strategy
- Deploy machine learning solutions
- Design data processing pipelines
- Develop ML methodologies and frameworks
- Lead machine learning model development
- Maintain models in production
- Mentor junior engineers and data scientists
- Monitor deployed model performance
- Optimize machine learning models
- Oversee dataset preprocessing
- Publish research findings
Perks/Benefits
- Financial security support
- Healthcare coverage
- Hybrid work model
- Mental health resources
- Paid time off
- Resources for Physical Wellbeing
- Resources for emotional wellbeing
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | Azure | BigQuery | Cloud platform | Contextual Bandits | DBT | Experiment infrastructure | Experimentation | Feature Stores | Google Cloud | Google Cloud Platform | Graph Embeddings | Graph Machine Learning | Knowledge graphs | Learning-to-Rank | Machine Learning | Model Serving | Personalization | PyTorch | Real Time | Real-time recommendation | Real-time recommendation systems | Recommendation Systems | Scikit-learn | Search & Ranking | Social Graph Embeddings | TensorFlow
Education
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