Summary
On the Input Experience NLP team, we build the language models that underpin intelligent text input and composition across Apple platforms, from keyboard autocorrection to the Writing Tools and Smart Reply features announced at WWDC 2024. We believe that generative AI is an incredibly promising technology that can help people communicate effectively and express themselves clearly, and we have only just begun to incorporate this technology into our products. On our team, you will help build the future and have a voice in what shape it takes.

We are looking for a Machine Learning Engineer to build scalable processes and pipelines for improving Apple Intelligence models in response to feedback and for expanding to more languages. You will build and refine the training and evaluation pipelines that define our slice of Apple Intelligence, driving the focused iteration that makes the user experience magical. You will join an ambitious, organized, and collaborative team in a unique position to integrate the latest innovations from the ML community and work on features that reach everyday users, including your family and friends. You'll work closely with teams across Apple, collaborating on human interfaces, user studies, internationalization, ML technologies, system integration, and more.

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.

Description
As a Machine Learning Engineer on our team, you will enable next-generation AI applications by building toolkits and workflows that scale to increasingly sophisticated modeling tasks. You will design the systems that enable seamless iterative refinement of models that enable us to continuously deliver improvements to our customers. You will streamline the modeling process, improving efficacy of data selection, training, and evaluation methodology. Finally, you will help define and refine new features that expand both the depth of Apple Intelligence's capabilities and the breadth of its support for the full spectrum of Apple customers.

Key responsibilities:

* Development and maintenance of data and model pipelines that scale to deployment in production
* Definition of robust automated evaluation mechanisms to facilitate hillclimbing on model quality
* Iteration on models via targeted refinements based on feedback from the field
* Failure analysis from user feedback to understand shortcomings of our models and evaluation data
* Research into state-of-the-art techniques for improving model quality and robustness
* Implementation of experiments and simulations to assess the value of model changes