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Data Scientist - Synthetic Data and ML Evaluations - Special ProjectsApple • United States
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Data Scientist - Synthetic Data and ML Evaluations - Special Projects

Apple
  • US
    United States
  • US
    United States
Jetzt Bewerben

Über

Data Scientist - Synthetic Data and ML Evaluations - Special Projects
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. Responsibilities
Work closely with ML Engineers to understand model evaluation needs Work closely with the Simulation team to design and generate large, multi-modal datasets for model evaluation Analyze the gap between simulated and real data Collaborate with the Simulation team to prioritize and address simulation performance gaps Minimum Qualifications
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 Preferred Qualifications
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 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 $129,300 and $225,300, 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.
  • United States

Sprachkenntnisse

  • English
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