Senior Software Engineer - Applied Machine Learning

Austin, Texas, United States
Software and Services


Weekly Hours: 40
Role Number:200255653
You will be responsible for the design, build and enhancements of a scalable highly concurrent distributed platform. Knowledge of popular Machine Learning tools and packages is helpful but can be an ongoing skill acquisition as part of the job. The approach required and to be developed is how to process thousands of transactions per second, how to achieve the consistency without sacrificing the performance.

Key Qualifications

  • - The position requires a solid knowledge of secure coding practices and experience with open source technologies.
  • - Experience in distributed systems, design and implementation of high efficiency, low latency applications.
  • - Extensive hands-on experience building solutions for large-scale internet infrastructure.
  • - Strong Object-Oriented Programming skills and proficiency in Java.
  • - Understanding of JVM internals and garbage collection.
  • - Familiarity with full stack implementations
  • - Deep understanding of TCP, websockets, and libraries like Netty.
  • - Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems.
  • - Experience architecting distributed systems, concurrent programming, and coding data structures.
  • - Real passion for process improvement.
  • - Excellent analytical skills, critical thinking, and interpersonal skills.
  • - Strong ability to learn new technologies in a short time.
  • - Meticulous attention to detail and dedication to quality; Excellent written and oral communication skills on both technical and non-technical topics.
  • - Strong teamwork, leadership, and time management skills; passion for leading, mentoring and developing junior team members


Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Appleʼs 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 pushing the envelope. Working with multiple lines of business, we manage many streams of Apple-scale data. We bring it all together and extract the value. We do all this with an exceptional group of software engineers, data scientists, dev-ops engineers and managers.

Education & Experience

A bachelor's degree or higher in Applied Mathematics, Data Science, Computer Science or equivalent field, plus 5 years industry experience. Master of Science preferred

Additional Requirements

  • - Understanding of encryption algorithms and technologies.
  • - UNIX Systems programming.
  • - Exposure to functional programming
  • - Some experience in statistics and machine learning.
  • - Some working knowledge of scripting languages like Python.
  • - Familiarity with Compute and/or Machine Learning offerings from Amazon AWS
  • - Familiarity with Kubernetes