Senior Machine Learning Infrastructure Engineer, Embedding Platform
Tasks
- Build and optimize ML pipelines
- Design machine learning platforms for recommendation and personalization
- Develop serving and monitoring for production ML
- Drive offline and online model evaluation
- Implement end to end ML systems components
- Improve distributed training and online inference
- Perform code reviews and documentation
- Run experimentation and feedback loop improvements
Perks/Benefits
- 401k employer match
- Family planning support
- Flexible vacation
- Gender-affirming care
- Global benefit programs
- Healthcare benefits
- Income replacement programs
- Mental health support
- Paid parental leave
- Paid volunteer time off
- Remote work
Skills/Tech-stack
A/B | A/B Testing | B testing | Data parallelism | Deep learning | Distributed Training | Experimentation | Feature Engineering | Foundation Models | Machine Learning | Model Evaluation | Model Parallelism | Online Inference | Personalization | Pipeline parallelism | PyTorch | Python | Real Time | Real-time Inference | Recommendation Systems | Sequence Modeling | TensorFlow
Education
N/A
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