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 Engineering Manager - Online Retail Analytics - 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: 200238060 / Latpro-3785885 
Date posted: Apr-15-2021
State, Zip: California, 95014

Description

Machine Learning Engineering Manager - Online Retail Analytics

Santa Clara Valley (Cupertino) , California , United States

Machine Learning and AI

Summary

Posted: Apr 15, 2021

Role Number: 200238060

Our Online Retail Decision Automation team is looking for passionate highly motivated, ambitious, and hands-on applied machine learning manager to lead the way by researching and developing the next generation of algorithms used to drive the Apple Online experience. This spans central areas of our Apple Online Store including how we approach recommendation systems (e.g. ranking, page generation),  personalization (e.g. evidence, search, messaging, marketing), media assets generation and optimizing Apple-wide systems & infrastructure. As a leader in our fast-paced group, you will have the unique and rewarding opportunity to be part of a new projects and shape upcoming products that will delight and inspire millions of Apple's customers every day. As an applied machine learning engineering manager, you will build and lead a team to conceptualize, design and develop core algorithms that power our buy-flows and personalize the experience across the Apple Online Store. This includes developing production algorithms for recommendations and personalization, running offline experiments and building online A/B tests to run in production systems. To be successful in this role, you need a strong machine learning background, solid software development skills, a love of learning, and to collaborate well in multi-disciplinary teams. You will need to exhibit strong communication and leadership skills, an ability to set priorities, and an execution focus in a dynamic environment.

Key Qualifications

  • 5+ years experience hiring & leading a team of software development / machine learning engineers.
  • Experience in Recommendation Systems, Personalization, Search, Computational Advertising or Natural Language Processing
  • Strong programming skills in Java, C/C++, Python, or similar language
  • Experience developing enterprise production software
  • Excellent software architecture and design skills
  • Excellent problem solving and analytical skills
  • Excellent communication and collaboration skills
  • Passion for delivering business impact
  • Experience with Spark, TensorFlow, Keras, and PyTorch a plus
  • Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus

Description

The team responsibilities include: deployment on-device and web, developing back-end data pipelines, and producing automation processes for machine learning tasks. You will closely collaborate with other engineering teams (including Hardware, QA, Infrastructure) to ensure the solutions are meeting the highest quality standards. Provide technical guidance, build, manage and inspire your team, develop, communicate and align the roadmap and vision, internally, cross-functionally and on an executive level.

Education & Experience

Ph.D. or Masters in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.



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?