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 other’s 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.

It’s 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, you’ll do more than join something — you’ll add

something. As 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? Join 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.

DESCRIPTION

We are seeking a Senior Software Engineer to join our Siri AI Client Platforms

Quality Engineering team.

In 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
• technologies. You will be responsible for designing, driving, triaging,
• evaluating automation results that support the qualification of Siri's 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 Siri's 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 launches. We 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.
• MINIMUM QUALIFICATIONS
• 5+ years of experience designing, implementing, and optimizing large-scale
• data-driven platforms and frameworks, APIs, services, and tools. Thorough
• understanding of system, architecture and large-scale system design. Strong
• programming skills with Swift, Python and Shell scripting languages Experience
• building dashboards and analytics solutions using tools like Tableau, Grafana,
• Superset, or Splunk to visualize KPIs and monitor data quality. Demonstrated
• success in collaborating cross-functionally with engineering, machine learning,
• and data science teams to solve complex challenges. Ability to proactively
• triage, investigate, and debug difficult technical and UX problems independently
• as well as collaboratively Capacity to drive test triage products,
• methodologies, and processes Proficiency with software revision control (e.g.
• Git) and CI/CD systems (e.g. Jenkins) Highly organized with strong planning
• skills to estimate, update, and communicate progress BS/MS in Computer Science,
• Engineering, or a related field.
• PREFERRED QUALIFICATIONS
• Deep understating about large scale data validation platforms with focus on
• privacy. Experience building tooling solutions with Claude tools. Knowledge of
• statistics-based evaluation approaches, ML training pipelines, and techniques
• for enhancing the accuracy of ML systems. Strong attention to detail and the
• proven ability to delve into data, uncover hidden patterns, and conduct
• comprehensive error/deviation analysis.