Software Engineer - Model Performance - Special Projects
Referral available at Apple
An employee here can refer you. The referrer stays anonymous and reaches out to you directly if interested.
We're a small team at Apple betting on what comes next. We believe AI will fundamentally change how people interact with their devices — and we're looking for software engineers who want to build that future.
We can't say much about what we're building for our customers. What we can say: the problems are genuinely new and the potential reach is enormous.
Beyond the work, we're a collaborative, humble, and curious group that loves learning from each other and building together.
You'll work alongside a tight group of engineers, designers, and researchers to bring AI features from early prototype to product. This is 0-to-1 work — from a rough idea on a whiteboard to software running on real devices. You'll have a lot of autonomy in how you get there.
What the day-to-day looks like:
Minimum Qualifications
- You've shipped software that people relied on, and you learned something from every hard call along the way
- You're someone who unblocks yourself. When the path isn't clear, you figure it out — whether that means reading the source, building a prototype, or pulling in the right people
- Comfortable with ambiguity and excited by problems that don't have an obvious answer yet
- You work well across teams and build trust with partners in design and engineering
- You make the people around you better — through mentoring, shaping technical direction, and the way you approach hard problems
- You've already brought AI into how you write code — and you're always looking for the next way to use it
- 5+ years of development experience, strong CS fundamentals, and a B.S. in Computer Science or significant equivalent experience. iOS and Swift experience is a plus — but if you're strong in another platform, you'll ramp quickly here.
Preferred Qualifications
- Deep experience in one or more iOS/macOS domains: system services, UI frameworks, concurrent application architecture, or performance optimization
- Practical knowledge of how LLMs work at the lowest level of model design and execution
- Close to the frontier. You're the person your team comes to when a new model drops or a new technique emerges
- A sharp eye for detail. You notice what's off and you know when it's right