AIML - Machine Learning Engineer, Data and ML Innovation
Description For AIML - Machine Learning Engineer, Data and ML Innovation
Apple's AIML organization is seeking a Machine Learning Engineer to join their Data and Machine Learning Innovation (DMLI) team. This role offers the opportunity to work on groundbreaking research initiatives that will shape the future of Apple's products. You'll be applying foundational research in machine learning to automate data annotation and design human-in-the-loop evaluation systems. The position involves working with internal and external LLMs, improving data curation processes, and developing innovative solutions for model evaluation. You'll collaborate with exceptional machine learning engineers and data scientists while having the opportunity to publish research at premier academic venues. The role combines cutting-edge ML research with practical applications that will impact billions of users worldwide. The ideal candidate will have strong expertise in machine learning, natural language processing, and programming, with a focus on model evaluation and applications. This position offers competitive compensation, comprehensive benefits, and the chance to become an Apple shareholder through various stock programs.
Responsibilities For AIML - 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 data for training foundational models
- Conduct research to improve efficacy of data curation
- Use LLMs to build grading models and integrate them into evaluation pipelines
- Uncover patterns in data using statistical and ML-based methods
- Employ data selection techniques for diverse data types
Requirements For AIML - Machine Learning Engineer, Data and ML Innovation
- B.S. in Machine Learning, Computer Science, Statistics, Operations Research or related areas
- 5+ years of experience with developing and evaluating ML applications
- Experience with database and SQL skills
- Experience writing automated unit, integration, and acceptance tests
- Excellent collaboration and communication skills
Benefits For AIML - Machine Learning Engineer, Data and ML Innovation
- Comprehensive medical and dental coverage
- Retirement benefits
- Employee stock programs
- Education reimbursement
- Discretionary restricted stock unit awards
- Employee Stock Purchase Plan
- Discretionary bonuses
- Relocation benefits
