Data Scientist - Synthetic Data and ML Evaluations - Special Projects

Apple • Cupertino, CA

2d

About The Position

The Special Projects team at Apple is developing novel user-facing
conversational features that leverage the multimodal capabilities of
state-of-the-art foundation models. A key component of this process is the
ability to produce complex simulated scenario data, in order to train and
evaluate agentic AI models. We are looking for a skilled Data Scientist to work
closely with our Simulation and Machine Learning Evaluations teams to generate
large synthetic datasets, analyze the gap between simulated and real data, and
evaluate and fine-tune agentic AI model performance at various tasks. A
successful candidate is experienced in managing large, multi-modal datasets, in
translating subjective product requirements into objective criteria, and has
strong statistical analysis skills.

Requirements

• BA or Master’s degree in Computer Science, Data Science, or related field
• 2+ years of hands-on experience working with large data sets
• Proficiency in Python
• Excellent communication skills

Nice To Haves

• PhD in Computer Science, Data Science, Statistics, or other STEM field
• Hands-on industry experience with product focused statistical analysis
• Experience working with large-scale multimodal data and data-annotation pipelines
• Experience working with simulations to produce large datasets
• Experience with experimental design, A/B testing and Failure Analysis
• A track record of publications or technical presentations in Data Science
• Excellent cross-functional collaboration skills

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees