AIML - Sr Backend Engineer, Data and ML Innovation

  • Washington, WA
  • Posted 19 hours ago | Updated 7 hours ago

Overview

On Site
USD 139,500.00 - 258,100.00 per year
Full Time

Skills

Innovation
Typing
Artificial Intelligence
Machine Learning (ML)
FM
Sourcing
Software Engineering
iPhone
iPad
Extract
Transform
Load
Google Cloud Platform
Google Cloud
Amazon Web Services
Training
Data Processing
Web Services
Inspection
Computer Science
Python
Concurrent Computing
Functional Programming
Programming Languages
Java
Golang
Rust
Swift
RESTful
Redis
Data Storage
Algorithms
Data Structure
Writing
Testing
Streaming
Apache Kafka
Build Tools
Jenkins
Apache Maven
Docker
Gradle
Active Listening
Critical Thinking
Payments

Job Details

Do you want to play a part in the next revolution in Foundation Models? Contribute to model hillclimbing for Apple Intelligence features that leverage Apple Foundation Models, and work with the people who built the intelligent products that helps millions of people get things done - just by asking or typing? The vision for the AI/ML FM Data organization is to improve Foundation Models by leveraging data from a variety of sources: crawl, license, vendor and internal crowd-sourcing. As a Sr Software Engineering on the team, you will drive backend innovations, identify key opportunity areas where data can play a crucial role and experiment with various data augmentation strategies to improve model training efficiency and performance..

Description We are looking for people with a track record in building scalable pipelines and services. Join us, and impact hundreds of millions of customers across billions of their interactions with foundation model powered Apple Intelligence features, that are available on iPhone, iPad, HomePod, Mac, Watch, CarPlay, and tv across more than 30 languages! As a Sr Backend Software engineer, you will be responsible for the following areas. - Training data pipeline development. Convert raw data into format acceptable by training jobs on Google Cloud Platform and AWS. Leverage internal and open-sourced training modules. - Large scale inferences: Leverage internal and open-sourced inference stack to generate inferences with fine-tuned LLMs on massive amounts of data, for pre-train and post-training - Data processing and data filtering: Have the ability to efficiently process and filter very large amounts of data, often times messy. - Scalable web services backend and APIs to support data access and data inspection tools

Minimum Qualifications
  • BS in Computer Science or Equivalent.
  • 10+ years of programming experience in Python. Extensive experiences in concurrency and parallelism, functional programming, decorators. Familiarity in other programming languages (Java/GoLang/Rust/Swift).
  • Proficient in REST API, Redis, VectorDB or other large scale data storage systems.
  • Solid foundational programming skills (algorithms, data structures, OOP, etc).
  • Experience designing, writing, reviewing, testing and delivering software for applications and systems at scale.

Preferred Qualifications
  • Familiarity with streaming-processing (Kafka). Familiarity with a variety of build tools (Jenkins, Maven, Docker, Gradle).
  • Experience providing architecture and design guidance.
  • A good communicator with clear and concise, active listening and empathy skills.
  • Are self-motivated and curious. Strive to continually learn on the job.
  • Have demonstrated creative and critical thinking with an innate drive to improve how things work. Have a high tolerance for ambiguity.

Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.