AIML - Sr Machine Learning Engineer, Data and ML Innovation
Description For AIML - Sr Machine Learning Engineer, Data and ML Innovation
Apple's AIML organization is seeking a Senior Machine Learning Engineer to join their Data and Machine Learning Innovation (DMLI) team. This role offers an exciting opportunity to work on groundbreaking technology for large-scale ML systems, focusing on automating data annotation and designing human-in-the-loop evaluation systems. The position combines cutting-edge research with practical applications, allowing you to impact billions of users worldwide through Apple's products.
As a Senior ML Engineer, you'll be working with foundational models, including LLMs, to develop innovative solutions for data annotation and quality assessment. Your responsibilities will span from building automated grading systems to improving data curation processes and conducting research in pattern recognition and anomaly detection. The role requires expertise in machine learning, strong programming skills, and the ability to work with diverse data types including images, 3D models, natural language, and audio.
The ideal candidate brings 5+ years of ML application development experience, strong technical skills in Python and SQL, and excellent collaborative abilities. You'll be part of a multidisciplinary team, with opportunities to publish research at premier academic venues. The position offers comprehensive benefits, including competitive base pay, stock options, medical coverage, and educational support.
This role represents a unique opportunity to contribute to Apple's AI initiatives while working with state-of-the-art technology and world-class talent. You'll be at the forefront of developing solutions that enhance data quality and model performance, directly impacting the future of Apple's ML ecosystem and product development.
Responsibilities For AIML - Sr Machine Learning Engineer, Data and ML Innovation
- Apply innovative research in ML to tackle complex data annotation and product evaluation problems
- Build machine-based grading models to reduce annotation costs and turnaround time
- Build pipelines to automate quality assessment of training data for foundational models
- Work with LLMs to build grading models and integrate them into evaluation pipelines
- Conduct research to improve data curation efficacy
- Uncover patterns in data using statistical and ML-based methods
- Employ data selection techniques for diverse data types
Requirements For AIML - Sr Machine Learning Engineer, Data and ML Innovation
- 5+ years of experience with developing and evaluating ML applications
- Experience in understanding and improving data quality
- Experience writing automated unit, integration, and acceptance tests
- Experience with database and SQL skills
- B.S. in Machine Learning, Computer Science, Statistics, Operations Research or related areas
- Excellent collaboration and communication skills
Benefits For AIML - Sr Machine Learning Engineer, Data and ML Innovation
- Comprehensive medical and dental coverage
- Retirement benefits
- Employee stock programs
- Educational expense reimbursement
- Discretionary bonuses
- Relocation assistance
- Employee discount on products
- Free services
