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Data Scientist - Survey Design, Data Annotation, and Machine Learning Evaluation
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Data Scientist - Survey Design, Data Annotation, and Machine Learning Evaluation
- United States
- United States
Über
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. As part of this process, we generate real-world and simulated data, gather human data annotations, analyze the results, and use them to build and evaluate Large Language Model judges. We are looking for a skilled Data Scientist to join our Machine Learning Evaluations teams. This person will work closely with ML Engineers to manage and analyze our human and automated data annotation processes, and to develop, test, and refine LLM judges for generative AI model evaluation. A successful candidate is experienced in survey design, data annotation, LLM prompt engineering and prompt optimization, and has strong statistical analysis skills. Responsibilities
Work closely with ML Engineers to understand data annotation needs Design and manage data annotation processes, including the development of user instructions, annotation pipeline processing, and process improvement Develop LLM auto-judges and judging criteria for generative AI model evaluation Analyze collected data annotations to assess and refine LLM auto-judges Minimum Qualifications
BA or Master's degree in Data Science, Statistics, or a quantitative social science field 2+ years of hands-on experience working in survey design and human data annotation Proficiency in Python Excellent communication skills Preferred Qualifications
PhD in Data Science, Statistics, or a quantitative social science field Hands-on industry experience with product-focused statistical analysis Experience working with large-scale multimodal data and data-annotation pipelines Experience with LLM prompt engineering & prompt optimization Experience with LLM auto-judges for generative AI model evaluation A track record of publications or technical presentations in Data Science or a related field Excellent at cross-functional collaboration 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 $141,800 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Sprachkenntnisse
- English
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