Senior Machine Learning Engineer
Tasks
- Build benchmarking and evaluation frameworks
- Develop and productionize machine learning models for inference platform
- Drive deployment workflows with validation rollout safety observability and regression testing
- Improve inference performance with quantization batching caching and compilation
- Integrate models into distributed inference infrastructure
- Mentor engineers and raise quality bar for production ML
- Translate customer requirements into scalable ML capabilities
Perks/Benefits
- N/A
Skills/Tech-stack
Batching | Caching | Distributed Systems | Embeddings | GPU Acceleration | Inference Optimization | JAX | Language Models | Large Language Models | Model Evaluation | Model Monitoring | Model compilation | Multimodal Models | ONNX Runtime | PyTorch | Python | Quantization | Retrieval-Augmented Generation | Runtime tuning | SGLang | Serverless Platforms | Speech Models | TensorFlow | TensorRT-LLM | Triton | VLLM | Vision Models
Education
N/A
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