Description

What you’ll be doing:

Analyze large-scale workloads and infrastructure signals to find application and platform improvement opportunities.

Work with high-dimensional data: spot trends, tie changes to known events, summarize conclusions, and communicate results to engineers and leadership.

Partner with the team to clarify questions, scope analyses, and document methods so others can extend your work.

Build and maintain practical visualizations and lightweight implementations (e.g. ML/DL for classification/prediction) inside existing software workflows.

What we need to see:

5+ years analyzing complex datasets, debugging data issues, and communicating trends clearly.

BS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experience.

Strong Python and JavaScript;

Comfortable being responsible for an analysis end-to-end.

Hands-on use of telemetry / observability stacks (e.g. Grafana, Elasticsearch, Splunk).

Shown grasp of core ML concepts; quick learner; strong analytical and problem-solving skills.

Collaboration and communication.

Ways to stand out from the crowd:

TensorFlow or PyTorch

Linux and HPC / large-scale or performance-sensitive environments

Experience visualizing high-dimensional problems

Diligent, action-biased analysis style

Key Skills

Education

Any Graduate