The vision for DMLI organization is to improve Apple Foundation Model and advance in ML Research. Within this organization the mission of the ML Data & Applications (MLDA) team is to build products that enable Apple Foundation Model team to quickly identify model soft spots and iterate on improving model capabilities. As a UI Engineer on the team, you will work on an internal product that showcases the power of Apple Foundation Model and provides valuable data for model hillclimbing.
Description
You will partner closely with Apple Foundation Model and SWE product feature teams to develop data visualization approaches for understanding complex aspects of the LLM user experience. You will build analytic, visualization, and other information products with a drive to automate and scale the insights available to science and engineering teams. You will guide best practices on the visual presentation of information and information architecture of LLM products. You will perform exploratory data analyses to enrich our mental models about LLM usage and identify new questions to pursue. We are looking for people with a track record in building front-end products and relationships to affect decisions. Join us, and impact hundreds of millions of customers across billions of their interactions with a personal, intelligent assistant who is available on iPhone, iPad, HomePod, Mac, Watch, CarPlay, and tv across more than 30 languages.
Minimum Qualifications
Have experience building front-end applications using Typescript, React and other UI frameworks.
Have expertise in modern Javascript and data visualization libraries (e.g. D3, VisX, Vega). Data visualization skills are a plus.
Familiarity with API development using web frameworks (e.g., Express).
Experience with testing frameworks (e.g. Jest, Mocha).
Have familiarity with at least one backend programming language (e.g. Python) and are comfortable developing tools in a team environment (e.g. git, documentation, testing).
Preferred Qualifications
Think about data in terms of statistical distributions and have good instincts for how to find patterns and identify insights.
Have good judgment for balancing art and science when visually communicating information.
Can build information out of massive and complex datasets optimally (e.g. Hive, Spark SQL, Druid).
Are self-motivated and curious with demonstrated creative and critical thinking capabilities and an innate drive to improve how things work.
You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
You have excellent verbal and written communications skills and experience in influencing decisions with information.
Eeo Content
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
