Spanish bilingual and Hispanic jobs since 1997. Diversity job fairs since 2006. employers     login   |   register - post a job
Hispanic Diversity Recruitment - best jobs for hispanic, latino & bilingual (spanish & portuguese) jobseekers
    Log me in!   |   Site Map   |   Help   
 AI/ML - Machine Learning Engineer, Siri - Seattle, Washington, United States

Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Programming Languages
Computers - Other
Computers - Platforms
Computers - Software Engineer
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200326635 / Latpro-3850379 
Date posted: Dec-22-2021
State, Zip: Washington, 98199


AI/ML - Machine Learning Engineer, Siri

Seattle , Washington , United States

Machine Learning and AI


Posted: Dec 21, 2021

Weekly Hours: 40

Role Number: 200326635

Come join the team behind Siri's customer facing content features, including music, movies, TV shows, and podcasts. The Siri Domains team at Apple is looking for a senior machine learning engineer to build innovative and delightful customer experiences. Be ready to make something great when you come here. Dynamic, inspiring people and innovative, industry-defining technologies are the norm at Apple. The people who work here have reinvented and defined entire industries with our products and services. The same passion for innovation also applies to our business practices - strengthening our commitment to leave the world better than we found it. You should join the Siri Domains team if you want to help deliver the next amazing Apple product.

Key Qualifications

  • * 5+ years experience working on applications of machine learning
  • * Deep understanding of machine learning algorithms, including supervised and unsupervised modeling techniques
  • * Passion for driving customer-facing products
  • * Experience working with large, real world data
  • * Strong interpersonal, written, and verbal communication skills
  • * End-to-end leadership of a project, from data mining and modeling to production deployment


The Siri team is looking for a senior machine learning engineer with a combination of strong technical skills and a creative, user-focused mindset. As a member of the Siri Domains team, you will leverage ML to make Siri the best way to play, discover, and interact with the content that users love. You will solve real-world problems using server-based and on-device modeling techniques. You will collaborate with Apple's design team to build exceptional user-facing features. You will be an outstanding teammate who can collaborate with engineers in several technical areas who have built the entire range of Siri's user facing capabilities. You should be able to thrive in a fast-paced environment with rapidly changing priorities. Specific responsibilities include: Crafting and implementing user feature interactions and work flow that provide intelligent user assistance for customer features; Working with our platform team to define infrastructure interfaces. Working with design and quality engineering teams to ensure a great user experience; Working with localization team to support the Siri experience in multiple languages.

Education & Experience

BS/MS degree in Computer Science or equivalent degree/experience Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.


See job description


Apple requires you to fill in their on-line form which will open in a different window.

Enter your email address and click 'Apply':
  Prefer not to enter your email?