AIML - UI Engineer, Data and ML Innovation

Apple • Cupertino, CA

12d

About The Position

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.

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.

Requirements

• 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).
• 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).

Nice To Haves

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees