AI, Search & Knowledge - Software Development Engineer, Tech Ops
Apple Inc.
Seattle, United States of America
1 month ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Seattle, United States of America
Tech stack
A/B testing
Artificial Intelligence
Bash
Cloud Computing
Python
Reliability Engineering
Cloud Services
Software Engineering
Systems Architecture
Scripting (Bash/Python/Go/Ruby)
Large Language Models
Kubernetes
Go
Programming Languages
Job description
This Software Development Engineer role will encompass the entire lifecycle of ML platform reliability engineering. The engineer will address user queries or tickets, triage and mitigate issues, converting diagnosis processes and solutions from ad hoc to systematic, reactive to proactive, and manual to automatic. They will visualize ML platform scalability and stability, assessing their impact on development velocity and resource utilization. Based on the actual impact, they will prioritize engineering efforts across teams, enhancing the system's key performance indicators.
Requirements
- Ability of analyzing problems in depth, determining root cause, articulate clearly and propose solutions
- Solid understanding of system architecture and large-scale ML service and computational platform operations
- Proficiency in coding with scripting and programming languages, including but not limited to - Bash, Python, Golang
- Knowledge of ML training and production workflows, understanding dependencies among architectural building blocks
- 7+ years experience of software development for compute infra or its operational stack, commensurate with operating cutting-edge hybrid cloud platforms, * Knowledge of ML, including LLM, as well as experience in developing real, large scale ML jobs
- Knowledge of analytics method and pipelines, able to utilize it for visualization of platform KPIs
- Experience designing and implementing systems to support ML applications
- Experience in large-scale service and job deployment, using an orchestration framework (Kubernetes) and cloud services for large-scale projects
- Experience in observability of system behaviors, having made decision what should be visible according to actual needs to solve specific problem
- Experience and knowledge on Quality Assurance, A/B testing for large-scale systems
About the company
Apple is a place where individual imaginations converge, committed to the principles that drive outstanding work! Every product we develop, service we create, and Apple Store experience we deliver is the result of us amplifying each other's ideas. This is because we share a belief that we can create something extraordinary and share it with the world, positively impacting lives. The diversity of our people and their perspectives fuels the innovation that permeates everything we do. When we bring everyone together, we can achieve our best work. Here, you will not merely join a team; you will contribute something meaningful.