AI Software Engineer Calendar Intelligence

Apple has changed how people live connect and work and the Calendar team wants to rethink what a calendar can do for the people using it. A calendar knows when someone is busy. It knows very little about which of those commitments matter which ones could move or when would be a good time for something new. Were looking for an engineer to help answer those questions on device and privately for billions of people. The right person has strong machine learning foundations and is just as comfortable writing the software that ships a model as building the model itself. Youll help take ideas from a single sentence to a shipped feature and youll bring the evaluation that tells us whether it works.n

In this role youll drive the modeling and evaluation behind intelligence features in Calendar from the first framing through launch as part of a very collaborative team. A request will often start as one line and youll work with the team to turn it into a problem we can solve: what signal exists what a good answer looks like which approach fits and how well know its right. Youll design the evaluation before you build the model. That means the metrics the eval sets the baselines a model has to beat and human review for the places where a metric cant tell you wont always have good data so part of the job is finding it and getting something useful out of it when there isnt much. Youll need to get real statistical strength out of priors shared structure and self-supervision. Youll also work with a range of large language models on device and on server deciding where a model call earns its cost where a smaller model trained on a larger models judgments does better and where a well-tuned heuristic beats join a small team of senior systems engineers who ship this work across Apples platforms several of them with deep backgrounds in ML data engineering. Theres no hard line between roles so youll write production code alongside them in whatever part of the stack the problem needs. Calendar also builds on signals and models from other ML teams across Apple and a lot of this role is working with them: building on what they have agreeing on shared interfaces and recognizing when we need our own. Youll work closely with design and product as well. We need someone who writes clearly can explain a models tradeoffs to engineers who arent ML specialists and is comfortable driving a problem forward before the path is defined.n

Bachelors degree or foreign equivalent in Computer Science EE Applied Mathematics or related field with 2 years experience in developing ML / AI driven in one or more of the following programming languages: Python Swift Objective-C or CnExperience developing software prototypes and features driven by Large Language Models and designing tool and function-calling interfaces constructing context and validating model outputnFluency with agentic coding tools such as Claude Code with good judgment about where to apply them and how to verify what they driving an ambiguous problem with cross-functional partners including other ML teams from a loose idea through launch and getting alignment on shared interfaces along the problem-solving skills and the ability to drive alignment across teams on shared API surfaces

Experience designing and developing systems that are efficient in resource constrained environments latency memory and power budgets on devicenSolid foundation in machine learning probability and statistics with hands-on experience training and evaluating models in a framework such as PyTorch or JAXnA track record of designing the evaluation for what you ship: metrics held-out sets baselines and noticing when a metric has stopped measuring what you care aboutnProven ability to excel in a fast-paced development team