Senior Machine Learning Engineer
Tasks
- Build benchmarking and evaluation frameworks
- Develop machine learning models for serverless inference
- Drive rollout safety and observability
- Improve model deployment workflows
- Integrate models into distributed inference infrastructure
- Mentor engineers and raise ML engineering quality bar
- Optimize inference performance
- Translate customer requirements into ML capabilities
- Validate model quality and reliability
Perks/Benefits
- N/A
Skills/Tech-stack
Batching | Caching | Distributed Systems | Evaluation | GPU | Inference Optimization | JAX | LLM | Model Serving | Model compilation | Monitoring | Multimodal Models | ONNX Runtime | Observability | PyTorch | Python | Quantization | Regression testing | Retrieval-Augmented Generation | Serverless computing | TensorFlow | TensorRT-LLM | Triton | VLLM
Education
N/A
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