Machine Learning Platform Engineer
Tasks
- Build and operate machine learning infrastructure and platforms
- Create evaluation and benchmarking infrastructure for model quality and regressions
- Design training evaluation deployment and inference systems
- Develop data preparation training evaluation and release pipelines
- Enable experimentation with tools and reusable platform primitives
- Implement production observability monitoring tracing and alerting for ML workloads
- Improve reliability scalability latency and cost efficiency
- Optimize model serving and inference for throughput and low latency
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Data Pipelines | Distributed Systems | GPU Performance | GPU Performance Tooling | Inference | JAX | Latency optimization | Machine Learning | Model Deployment | Model Evaluation | Monitoring | Observability | Performance tooling | PyTorch | Python | Retrieval | SGLang | TensorRT-LLM | Tracing | VLLM | Vector Databases | Workflow Orchestration
Education
N/A
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