Machine Learning Engineering Manager

Apple

3.7

(120)

Cambridge, MA

Why you should apply for a job to Apple:

  • 66% say women are treated fairly and equally to men
  • 66% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Company commitment that women earn the same as men performing similar work includes no salary history disclosure policy.
  • Apple University creates classes, seminars, and tools to help employees understand Apple’s culture, organization, and values.
  • Whether you donate time or money, Apple will match charitable contributions up to $10,000 a year.
  • #200578135-2

    Position summary

    ey receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things. We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineering leader. This role will lead the way on our Online Retail Decision Automation team by researching and developing the next generation of algorithms used to drive the Apple Online experience! The role spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, messaging, marketing), Generative AI and optimizing Apple-wide systems & infrastructure. As a leader of the fast-paced team, you will have the outstanding opportunity to be part of new projects and craft upcoming products that will delight and encourage millions of Appleʼs customers every day.

    Description

    To be successful, candidates need a strong machine learning background, proven 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 multifaceted environment. RESPONSIBILITIES INCLUDE: - Attract, hire, and inspire a diverse world-class engineering team, fostering a culture of innovation, collaboration, and excellence. - Enable the engineers in the team to grow their careers by providing the right opportunities along with clear and timely feedback. - Lead team of machine learning engineers and collaborate with x-functional teams overseeing the entire development lifecycle from design, implementation to operationalize robust, scalable and efficient machine learning solutions. - Stay up-to-date with emerging technologies, industry trends, and advancements in ML practices to find opportunities for improvement and innovation and effectively communicate with partners, providing regular updates on project status, progress, and any potential risks or challenges.

    Minimum Qualifications

    • 5+ years related experience in enterprise applications with 2+ years of managing large engineering teams.

    • Ability to actively participate in investigations into realtime and offline analysis, draw conclusions from data, and recommend actions.

    • Excellent leadership skills with a demonstrated ability to build and lead high-performing engineering teams.

    • Experience enabling large-scale, high throughput and distributed customer facing applications.

    Preferred Qualifications

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

    • Experience in Recommender Systems, Personalization, Search, Computational Advertising or Natural Language Processing, including RAG based Generative AI and transformer architecture.

    • Experience with building data processing pipelines, large scale machine learning systems, and big data technologies (eg: Spark, SQL, Snowflake/Hadoop, etc).

    • Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building highly scalable distributed systems.

    Additional Requirements

    More

    • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.

    Why you should apply for a job to Apple:

  • 66% say women are treated fairly and equally to men
  • 66% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Company commitment that women earn the same as men performing similar work includes no salary history disclosure policy.
  • Apple University creates classes, seminars, and tools to help employees understand Apple’s culture, organization, and values.
  • Whether you donate time or money, Apple will match charitable contributions up to $10,000 a year.