Data Scientist - Synthetic Data and ML Evaluations - Special Projects

Cupertino, CA, US • Posted 11 hours ago • Updated 11 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Innovation
  • Art
  • Machine Learning (ML)
  • Artificial Intelligence
  • Management
  • Product Requirements
  • Business Analytics
  • Business Analysis
  • Python
  • Communication
  • Computer Science
  • Statistics
  • Design Of Experiments
  • A/B Testing
  • Failure Analysis
  • Publications
  • Presentations
  • Data Science
  • Collaboration

Summary

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other's ideas stronger. The diversity of our people and their thinking inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.

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.

BA or Master's degree in Computer Science, Data Science, or related field\n2+ years of hands-on experience working with large data sets\nProficiency in Python\nExcellent communication skills

PhD in Computer Science, Data Science, Statistics, or other STEM field\nHands-on industry experience with product focused statistical analysis\nExperience working with large-scale multimodal data and data-annotation pipelines\nExperience working with simulations to produce large datasets\nExperience with experimental design, A/B testing and Failure Analysis\nA track record of publications or technical presentations in Data Science\nExcellent cross-functional collaboration skills
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 1f8d9ecab24261b9c4d640120f373e41
  • Posted 11 hours ago
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