ML - Data Scientist
Description For ML - Data Scientist
Apple's Data Analytic and Quality (DAQ) group is seeking a talented Machine Learning/Data Scientist to specialize in the evaluation of multimodal foundation models. This role offers an exciting opportunity to work at the forefront of AI technology, collaborating with diverse teams including ML engineers, data scientists, and ML infrastructure engineers. The position focuses on developing and enhancing foundation models, conducting failure analysis, and creating sophisticated tools for data analysis and visualization.
The role combines technical expertise with practical application, requiring strong skills in Python, deep learning, and statistics. You'll be working with cutting-edge foundation models like SAM, LLAMA, and CLIP, while contributing to large-scale user studies and engineering experiments. The position offers competitive compensation ranging from $121,900 to $183,600, along with comprehensive benefits including medical coverage, stock options, and educational support.
At Apple, you'll be part of a company where individual imaginations come together to create products that change lives. The role provides an excellent opportunity for someone with 3+ years of experience in large-scale data analytics to make significant contributions to next-generation AI technologies. You'll be working in Cupertino, California, at the heart of Apple's innovation center, where your work will directly impact the development and improvement of multimodal AI systems.
Responsibilities For ML - Data Scientist
- Develop methods for evaluation and enhancement of foundation models
- Conduct thorough failure analysis on large multimodal models
- Develop tools for analyzing and visualizing data
- Design and implement experiments for engineering studies and large scale user studies
- Define feature specifications and anticipated user experience based on data insights
Requirements For ML - Data Scientist
- Bachelor's degree
- Solid foundation in data science, deep learning and statistics
- Demonstrated experience in in-depth analysis of machine learning model failures
- Familiarity with various foundation models (SAM, LLAMA, LLaVA, CGPT4V, CLIP)
- Proficiency in Python
Benefits For ML - Data Scientist
- Comprehensive medical and dental coverage
- Retirement benefits
- Employee stock programs
- Education reimbursement
- Discretionary bonuses
- Relocation assistance
- Employee discount on products
- Free services
