AI/ML - Software Engineer, ML Platform & Technology - Military Veterans

at Apple

Pittsburgh, Pennsylvania

Summary

Posted: Jan 12, 2021
Role Number:200214936
Want to contribute to the platform enabling the next generation of intelligent experiences in Apple products & services? Our group builds web-based tools that machine learning engineers from many Apple organizations depend on to create high impact product features. As a senior software engineer on our team you will lead the design and implementation of major new pieces of our popular internal machine learning platform. You’ll work with data scientists and ML engineers to identify useful and innovative functionality for model training and evaluation pipelines and then make it happen. Our friendly, enthusiastic, and accomplished team is actively growing; you will be encouraged and supported to do the best work of your career here, and you will have tremendous opportunity for impact. We offer a flexible, family-friendly working environment and a wide range of benefits.

Key Qualifications

Key Qualifications
  • Demonstrated experience delivering reliable, scalable, performant, and secure web-based systems and services in production.
  • Expert software design and development skills, and a passion for code quality.
  • Strong foundation in computer science fundamentals including data structures and algorithms.
  • Creative, collaborative, and focused on user experience and value.
  • Can independently prioritize and make progress on multiple work streams.
  • Excellent written and verbal communication skills. Comfortable representing our work to partners and leaders.

Description

Description
This role includes the following responsibilities and requirements: * Architecture, design, development, debugging, documentation, and operation of large-scale systems designed for machine learning. This includes distributed systems for data management and computation as well as web oriented APIs and user interfaces. You should be comfortable and eager to work on either the front or back end of web based products. * Partner with data scientists and ML engineers across different Apple organizations to define high impact product features and deliver them with quality. Take pride and ownership in delivering delightful user experiences. * Be able to stay on top of state-of-the-art technologies and apply them in the job. * Lead other engineers and demonstrate best practices for software engineering. Support and mentor junior engineers. * Be knowledgable and productive with a wide variety of front and back-end technologies. Experience with any of the following technologies is particularly desirable: TypeScript, Python, Go, Java, HTML/CSS, React, Redis, PostgreSQL, Kafka, Spark, Solr or ElasticSearch, Docker/Kubernetes, AWS, Git. * Previous experience with machine learning pipelines, model evaluation, and data visualization is a plus.

Education & Experience

Education & Experience
B.S., M.S., or Ph.D. in Computer Science or related field, and 5+ years of professional software engineering experience

Additional Requirements

Additional Requirements

Pittsburgh, Pennsylvania

Organization logo
Apple

We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including Apple TV, the App Store, Apple Music, and Apple Pay. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

Every new product we invent, service we create, or store we open is the result of people working together to make each other’s ideas stronger. That happens here because every one of us strives toward a common goal — creating the best customer experiences. So bring your passion, courage, and original thinking and get ready to share it. This is where your work can make a difference in people’s lives. Including your own.

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