Expoint - all jobs in one place

Finding the best job has never been easier

Limitless High-tech career opportunities - Expoint

Apple AIML - Data Scientist ML Innovation 
United States, Washington, Seattle 
598518156

18.11.2024
Description
Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data collection and quality control, requirements specification, processing and presentations. Use data from multiple types of sources including human annotation data.
Minimum Qualifications
  • Experience in data science, machine learning, and analytics, including statistical data analysis and A/B testing.
  • Using Foundation Models for data science: prompt engineering and fine-tune foundational models for specific tasks.
  • Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners.
  • Strong programming skills, including data-querying skills (SQL) and experience with Python scripting language for data processing and development. Be able to translate ideas/methods into code and dashboards without hesitation.
  • M.S in Statistics, Machine Learning, Computer Science, Operations Research or related areas.
Preferred Qualifications
  • Ph.D. in machine learning, computer science, statistics, operations research or related areas.
  • Experience with large language models, leveraging LLM for evaluation and product improvement.
  • Worked in areas intersecting Responsible AI and Generative AI
  • Worked with methods that account for variability in human annotation data
  • Some comfort in the use of JavaScript frameworks to design UI mock ups.
Pay & Benefits
  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $135,400 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.