Job Description
Summary
As part of Apple Intelligence, Siri team is at the forefront of the next revolution in machine learning and Generative AI. We are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide. Does the opportunity to play a part in building groundbreaking technology for large-scale systems, natural language and artificial intelligence excite you? Do you want to expand the experience of Siri and other AIML products to new products that will help millions get things done, across the globe? Join the ML Systems Evaluation Engineering (MLSEE) team at Apple and contribute to a highly accomplished team that evaluates AIML products, that will delight and inspire millions of people!
Description
Minimum Qualifications
- 5+ years of professional experience in software development, with a strong emphasis on designing, implementing, and optimizing large-scale data and compute-intensive pipelines, tools, and machine learning (ML) systems.
- Strong software engineering skills, including system design, development, testing, debugging, release and maintenance.
- Proven expertise in Python (required) and at least one other object-oriented programming language (e.g., Swift, C#, Go, Java).
- Experience with the full lifecycle of ModelOps pipelines, including data preprocessing, model training, evaluation, deployment, and monitoring.
- Excellent communication and documentation skills.
Preferred Qualifications
- Knowledge of statistics based evaluation approaches, ML training pipelines and accuracy improvements of ML systems (Preferred).
- Ability to develop long-term strategic visions and execute scalable solutions in fast-paced, agile work environments.
- Strong organizational skills and experience working with multiple stakeholders.
- Big Data pipeline experience is a huge plus