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
HOME
    Log me in!   |   Site Map   |   Help   
 Machine Learning Engineer - Maps Search - Cupertino, California, 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 - 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: 200175198 / Latpro-3744194 
Date posted: Jun-16-2020
State, Zip: California, 95014

Description

Machine Learning Engineer - Maps Search

Santa Clara Valley (Cupertino) , California , United States

Software and Services

Summary

Posted: Jun 15, 2020

Role Number: 200175198

Apple Maps are being used by millions of users every single day and powers thousands of applications. As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. As a part of Apple Maps search team, you will play a big part in the next revolution in maps to enable users to find things in maps by working in a high-performing and collaborative environment. You will have plenty of opportunities to create groundbreaking technologies using machine learning at scale to improve the search quality for Apple Maps. This is an ideal role for someone who is passionate about search, cares about innovation, software craftsmanship, building high performance software products, always thinking about optimizing software for best utilization of resources and provide a high quality of customer experience by providing the best search results.

Key Qualifications

  • Experience in applying machine learning in information retrieval domain such as search engines, natural language processing, or similar areas.
  • Strong programming experience in one or more of the following: Java, C++, Python or equivalent
  • Excellent interpersonal and communication skills
  • Outstanding problem solving and analytical skills

Description

The goal of Maps Search team is to take Apple's Maps to the next level of intelligence and accuracy using advanced machine learning and artificial intelligence techniques. Engineers and scientists on this team work on a wide spectrum of approaches in improving search experience on Apple Maps. You will be working closely with data, and analytics teams to develop applied machine learning algorithms and models that help improve search relevance and experience. You would also work on developing scalable tools and platform foundations that enable other engineers and scientists to develop, evaluate and release algorithms, models and features quickly. You will participate in design and code reviews and work with engineers and QA to deliver high quality search experience to our customers. This position involves a wide variety of skills and innovation, and is a unique opportunity that sits at the cutting-edge of machine learning and information retrieval techniques. Ultimately, your work would have a huge impact on millions of users across the globe.

Education & Experience

- BS/MS in Computer Science or equivalent. PhD preferred.

Additional Requirements

  • - Experience/knowledge of large scale machine learning applied to very large and diverse datasets
  • (preferred)
  • - Experience/knowledge of search, natural language processing, and related fields (preferred)
  • - Experience with Lucene/Solr/Elastic Search or any other Search Engine Experience with
  • Hadoop/Map-Reduce/Spark (preferred)





Requirements

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':
       Apply
  Prefer not to enter your email?