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 for their Data and Machine Learning Innovation (DMLI) team. This role focuses on groundbreaking research in machine learning systems, working on ambitious long-term projects that will shape Apple's future. The position involves developing innovative solutions for data annotation automation and human-in-the-loop evaluation systems. You'll work with cutting-edge technologies, including LLMs, to build grading models and evaluation pipelines, while collaborating with exceptional engineers and scientists. The role offers opportunities to publish research at premier academic venues and impact billions of users worldwide. Key responsibilities include improving data curation efficiency, developing automated evaluation systems, and enhancing model performance through sophisticated data analysis. The ideal candidate combines strong technical expertise with excellent collaborative skills, bringing 5+ years of ML application experience to this transformative role. Benefits include competitive compensation ($135,400-$250,600), comprehensive healthcare, stock options, and educational support.
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 training data for foundational models
- Work with LLMs to build and integrate grading models into evaluation pipelines
- Conduct research to improve data curation efficiency
- Model data distributions using modern statistical and ML-based methods
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 assistance
- Product discounts
- Free services
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