Machine Learning Infrastructure Engineer, Input and Interaction

Cupertino, CA 95014
  • Job Code
    200257032
Summary

Summary

Posted: Jun 15, 2021

Role Number:200257032

The Human Interface Devices (HID) team is an eclectic group with backgrounds in algorithms, software, HCI, and more, dedicated to ...Summary

Summary

Posted: Jun 15, 2021

Role Number:200257032

The Human Interface Devices (HID) team is an eclectic group with backgrounds in algorithms, software, HCI, and more, dedicated to developing the next generation of human-computer interaction. We are looking for a Machine Learning Infrastructure Engineer to help build software systems supporting development of these input experiences.

The ideal engineer is comfortable working in a dynamic and creative team charged with engineering breakthrough input experiences. You are a self-motivated, excellent problem solver, and a fast learner. You are quick to forge relationships and comfortable with change and ambiguity. You have strong technical leadership skills and enjoy collaborating with others toward the creation of commercial grade software. You will bring software expertise to a highly interdisciplinary team, working with engineers of many talents to tackle challenging problems.

Key Qualifications

  • 4+ years of SW development experience, including SW architecture design, reliability, and scaling
  • Proficiency in Python and C++ with solid object-oriented design fundamentals
  • Exposure to algorithms, AI/ML, or data science projects including evaluating algorithms on datasets
  • Experience developing and deploying automated algorithm evaluation and data pipelines on cloud services such as AWS, MS Azure, Google Cloud Platform, etc
  • Experience deploying and managing parallel computing tasks in cloud infrastructures with focus on scalability and performance
  • Understands and advocates principles of good software and system design
  • Able to communicate clearly and collaborate with cross-functional teams
  • Excellent problem solving and root cause analysis skills

Description

In this role, you will write software to manage datasets, run algorithm pipelines at scale, and integrate with other algorithm teams to evaluate features end-to-end.

Specifically, you will:

* Develop and deploy scalable cloud infrastructure to run automated algorithm evaluation tasks on data
* Develop software to analyze, annotate, and organize data at scale for integration with algorithm pipelines
* Collaborate with cross-functional teams to leverage existing tools and frameworks and build on them
* Integrate with other algorithm pipelines for end-to-end performance evaluations through KPIs
* Generate comprehensive scorecards and automate analyses that help diagnose critical algorithm issues

Education & Experience

BS/MS/PhD in CS/CE/EECS or related field

Additional Requirements

  • The following are NOT required, but are a plus and may help you be more successful in this role:
  • - Experience with Objective-C and/or Swift
  • - Familiarity with continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins)
  • - Experience with databases
  • - Math fundamentals, such as linear algebra and statistics
  • - Experience developing for input or interaction
  • Apple's most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programs. We're proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount - both offer everyone at Apple the chance to share in the company's success. You'll discover many more benefits of working at Apple, such as programs that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products.
  • Apple benefits programs vary by country and are subject to eligibility requirements.
  • 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. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.


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Machine Learning Infrastructure Engineer, Input and Interaction

Apple, Inc.
Cupertino, CA 95014

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