AIML - Sr Backend Engineer, Data and ML Innovation at Apple

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

0.0

Posted On

06 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Concurrency, Parallelism, Functional Programming, REST API, Redis, VectorDB, Data Structures, Algorithms, OOP, Data Processing, Data Filtering, Scalable Web Services, APIs, Streaming Processing, Build Tools

Industry

Computers and Electronics Manufacturing

Description

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 GCP 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.

Responsibilities

As a Sr Backend Software Engineer, you will drive backend innovations and identify key opportunity areas where data can play a crucial role. You will also experiment with various data augmentation strategies to improve model training efficiency and performance.