Data Scientist - Health AIML

Cupertino, CA, US • Posted 3 days ago • Updated 7 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Science
  • Research
  • Embedded Systems
  • Artificial Intelligence
  • Data Science
  • Analytics
  • A/B Testing
  • SQL
  • Apache Spark
  • Scripting Language
  • Data Processing
  • Python
  • R
  • Scala
  • Collaboration
  • Large Language Models (LLMs)
  • Training
  • Prompt Engineering
  • Data Analysis
  • Machine Learning (ML)
  • Computer Science
  • Statistics
  • Operations Research

Summary

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.

We are looking for a highly technical and experienced data scientist who can work embedded with engineering to help design, execute, and analyze manual and LLM based evaluations of health AI models and agentic experiences.

5+ years of experience in data science, machine learning, and analytics, including statistical data analysis and A/B testing.\nExperience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.\nStrong programming skills, including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala).\nExcellent collaboration skills to achieve impactful results by working effectively with diverse cross-functional teams, including PMs, engineers, data scientists, and others.\nB.S. in Machine Learning, Computer Science, Statistics, Operations Research or other quantitative fields.

Applicants have a good understanding of large language model (LLMs), including their architecture, training methods, prompt engineering and fine-tuning for specific tasks.\nHands-on experience in applying LLMs to solve technical problems, such as data analysis, data automation, synthetic data generation, with proven ability to optimize model performance for accuracy and efficiency.\nPh.D. in machine learning, computer science, statistics, operations research or other quantitative fields.\n10+ years of relevant work experience.
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: bf34da79407e5ed4f691c42d7a8832de
  • Posted 3 days ago
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