Software Engineer II, ML Telemetry

Requirements:

• Bachelor’s degree or equivalent practical experience.
• 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 1 year of experience with data structures and algorithms.
• 1 year of experience building and developing large-scale infrastructure or distributed systems.

Nice to haves:

• Background in Machine Learning (theory, JAX, PyTorch and other tools).
• Background in Compilers, Computer Architecture, Distributed Systems or related fields.
• Backend programming (C++) and data analytics (FlumeC++/SQL) for development of instrumentation and data aggregation pipelines.

What you'll be doing:

• Measure and report the efficiency of the ML fleet, generate and collect metrics that help identify optimization opportunities, and drive improvements via changes to Core Machine Learning (ML) products and services.
• Measure and report the fleetwide adoption of Core ML products and services.
• Collect metrics to inform the ML Software/Hardware (SW/HW) roadmap.
• Provide data-driven actionable feedback to ML job owners, Product Area (PA) resource planners, and Fleet resource planners.

Perks and benefits:

• Opportunities to switch teams and projects
• Varied work areas including information retrieval, distributed computing, large-scale system design, security, AI, and more
• Pace of innovation in a fast-paced environment
• Versatile engineering challenges