Senior Machine Learning Engineer, Growth
Tasks
- Architect production machine learning systems
- Build feature stores
- Build visual AI integration layers
- Collaborate with data scientists
- Deploy scalable ML infrastructure
- Develop predictive scoring microservices
- Engineer high throughput low latency data pipelines
- Establish CI/CD processes
- Implement drift detection
- Monitor model reliability and performance
- Orchestrate LLM based agents
- Process first party data and pipeline signals
- Productionize proof of concept models
Perks/Benefits
- Career growth and learning opportunities
- Discount on fitness memberships
- Flexible hybrid schedule
- Generous vacation and PTO
- Health and dental benefits
- Health spending account
- Parental leave top-up
- Remote work flexibility
- Team social events
- Unlimited Headspace access
Skills/Tech-stack
AWS | Azure | CI/CD | Data Pipelines | Drift Detection | Feature Store | GCP | High Throughput | High-Throughput Systems | Huggingface | LLM | Low Latency | Low-Latency Systems | Microservices | Model Drift | Model Drift Detection | PySpark | PyTorch | Python | TensorFlow
Education
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