AIML - Sr. Applied Machine Learning Engineer Answers, Knowledge & Information (AKI)

Apple

San Francisco, CA

JOB DETAILS
LOCATION
San Francisco, CA
POSTED
30+ days ago

Weekly Hours:

40

Role Number:

200640098-3401

Summary

Do you want to make Siri and Apple products smarter for our users? The Siri and Information Intelligence team is redefining how hundreds of millions of people use their devices to get information

We are an Applied ML team pushing the limits on real-time augmented information retrieval and generation, information safety and search technologies, while also responsible for a few user-facing production services

We are part of a wider effort to power information across a variety of Apple products – including: Siri, Spotlight, Safari, Messages, Lookup, and more

Description

We are looking for candidates with applied machine learning experience and strong software engineering skills

As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple

Our team includes a diversity of backgrounds from applied machine learning engineers with a focus on ML and LLM to experienced distributed systems engineers

You will be using and improving upon the latest advancements in machine learning and software engineering to understand user queries and intents, retrieve and rank documents, and generate helpful answers, and work on horizontal areas on data generation, evaluation, and safety

Minimum Qualifications

+ Experience with using: PyTorch, TensorFlow, or JAX for training and deploying deep learning models + Proficient in at least two programming languages such as: Go, Swift, Python, C/C++, or Java + 3+ years of industry related experience, working in collaborative environments + Bachelors in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience

Preferred Qualifications

+ Analyzing search ranking and relevance requirements issues and opportunities + Building machine-learned models for search relevance ranking query understanding and questioning + Understanding product requirements then translating them into modeling tasks and engineering tasks + Masters or PhD in the area of Computer Science or equivalent, or a related 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

About the Company

A

Apple

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer/IT Services
FOUNDED
1976
WEBSITE
https://www.apple.com/jobs