Sr. Software Development Engineer In Test Siri AI Quality

Apple is where individual imaginations gather together committing to the values that lead to great work. Every new product we build service we create or Apple Store experience we deliver is the result of us making each others ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world changing lives for the better. Its the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in we can do the best work of our lives. Here youll do more than join something youll add part of Siri AI Quality Engineering we are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide. Does the opportunity to play a part in building groundbreaking technology for large-scale systems natural language and artificial intelligence excite you Do you want to expand the experience of Siri and other AI/ML products to new products that will help millions get things done across the globe nnJoin Siri AI Quality Engineering at Apple and contribute to a highly accomplished team dedicated to releasing high-quality software models and products that will delight and inspire millions of people.

We are seeking a Senior Software Engineer to join our Siri AI Client Platforms Quality Engineering this role you will be dealing with high volumes of test data and evaluation pipelines requiring both technical depth and creative thinking to build solutions that can keep pace with the rapid evolution of AI will be responsible for designing driving triaging evaluating automation results that support the qualification of Siris AI features not just validating what features are supposed to do but creatively measuring qualitative experiences the way a real user would. This means going beyond pass/fail metrics and thinking deeply about how Siris responses feel how natural the interactions are and how well the product truly serves our customers in the real world. You will work closely with Product Platform engineers and program managers to understand how Siri behaves how they evolve and how changes in the underlying AI stack ripple through to the customer experience. Your insights and findings will directly influence product decisions model improvements and feature are a fast-paced and deeply collaborative team that values the tight relationship between Quality engineering Product engineering and program management. We move quickly we hold ourselves to the highest standards and we genuinely care about the products we build. If you are someone who thrives in an environment where your work matters where innovation is encouraged and where you can see the direct impact of your contributions on a global scale this is the team for you.

Own end-to-end automation pipelines across multiple platforms from creation configuration monitoring evaluation and large-scale test datasets to perform deep analysis identify trends and surface actionable quality insights that inform product decisions and drive improvements across Siris AI featuresnInnovate and build new strategies frameworks and tooling to accelerate evaluation cycles reduce bottlenecks and continuously raise the efficiency and effectiveness of the quality engineering processnProactively identify escalate and track critical issues whether blocking automation evaluation or impacting the product experiencenPartner closely with Program Management teams to drive timely resolution of issues balancing urgency with thoroughness to keep product timelines on track without compromising qualitynOperate with a self-starter mindset: take full ownership of your work anticipate challenges before they arise and drive initiatives forward with minimal direction in a fast-paced ever-evolving environment

5 years of experience designing implementing and optimizing large-scale data-driven platforms and frameworks APIs services and understanding of system architecture and large-scale system programming skills with Swift Python and Shell scripting languagesnExperience building dashboards and analytics solutions using tools like Tableau Grafana Superset or Splunk to visualize KPIs and monitor data success in collaborating cross-functionally with engineering machine learning and data science teams to solve complex to proactively triage investigate and debug difficult technical and UX problems independently as well as collaborativelynCapacity to drive test triage products methodologies and processesnProficiency with software revision control (e.g. Git) and CI/CD systems (e.g. Jenkins)nHighly organized with strong planning skills to estimate update and communicate progressnBS/MS in Computer Science Engineering or a related field.

Deep understating about large scale data validation platforms with focus on building tooling solutions with Claude of statistics-based evaluation approaches ML training pipelines and techniques for enhancing the accuracy of ML attention to detail and the proven ability to delve into data uncover hidden patterns and conduct comprehensive error/deviation analysis.