Software Engineer, Systems ML Engineering

Описание вакансии

Обязанности

•Build dashboards alerting and runbooks for incidents

•Collaborate on roadmap planning and stakeholder alignment

•Conduct code reviews and improve maintainability and scalability

•Define service level objectives for ML infrastructure services

•Design and implement ML systems infrastructure components

•Drive adoption of engineering standards testing and staged rollouts

•Lead technical design and architecture for ML systems initiatives

•Mentor engineers on ML systems best practices

•Resolve performance bottlenecks in distributed ML training and inference

•Translate model development requirements into production systems

Технологии: Alerting, Benchmarking, C++, CUDA, Dashboarding, Data parallelism, Distributed Systems, Distributed Training, Experiment tracking, Feature Flagging, Feature Store, GPU Computing, Incident Management, Inference Serving, Instrumentation, Model Parallelism, Model Registry, Pipeline parallelism, Profiling, PyTorch, Python, Runbooks, Service Level, Service-Level Objectives, System design