Sr Software Engineer, Applied Machi


  • Austin, TX
  • Permanent
  • OOP

  • Java

  • Hadoop

  • Hive

  • spark

  • Hadoop HDFS

  • ORC

  • Presto

  • ETL Development

  • Jvm

  • Python

  • Job Posted: Tuesday, June 26, 2018

  • Expires On: Thursday, July 26, 2018

  • Job Type: Permanent

  • Duration: 1+ years

  • Desired Experience: 6-10 years

  • Work Authorization: Resident/Citizen

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
Apples Applied Machine Learning team has built systems for a number of large-scale data science applications. We work on many high-impact projects that serve various Apple lines of business. We use the latest in open source technology and as committers on some of these projects, we are opening up the boundaries. Working with different teams, we lead many streams of Apple-scale data. We bring it all together and extract the value. We do all this with an excellent group of software engineers, data scientists, dev-ops engineers and managers.
Join Apple's Applied Machine Learning Team, as a Senior Software Engineer, to help build innovative software applications. Candidates should have development and implementation experience on large scale mission critical applications. The main responsibilities for this position include: Architecting innovative solutions while playing a hands-on development role to deliver products in a rapid and dynamic environment. Be involved in challenging and fast paced projects supporting Apple's business by delivering innovative solutions to given challenges. Develop tools to monitor system health, performance, and reliability. The candidate is expected to be self-motivated, pro-active, and a solution-oriented individual.
Education Details
BS degree in computer science or equivalent field with 5+ years of professional experience, or equivalent
Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.
Key Qualifications
Strong Object Oriented Programming skills and proficiency in Java.
Shown understanding of Hadoop, Hive, Spark, HDFS, ORC and Presto
Experience developing ETL solutions for clients in different domains, managing various types of significant data
Experience in distributed systems, design and implementation of high throughput applications.
Extensive hands-on experience building solutions for large-scale data infrastructure
Experience crafting and architecting distributed systems, concurrent programming, and coding data structures
Excellent analytical skills, critical thinking, and communication skills.
Understanding of JVM internals and garbage collection.
Strong working knowledge of scripting languages like Python.
Understanding of query algorithms and optimization.
Shown mathematical knowledge; understanding of machine learning, statistics.
Demonstrated to have a strong, analytical and data-driven mind set.