AIML - Sr Backend Engineer, Data and ML Innovation
About The Position
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.. 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!
Requirements
- 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
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Computer and Electronic Product Manufacturing
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
