Data Scientist - Health AIML

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.

Job Description

Location:

Cupertino, CA

On-site, Remote

• Design and own end‑to‑end evaluation frameworks for Health AI, developing rigorous evaluation methodologies, metric definition, sampling strategy, experiment design, statistical validity checks, and scalable, reproducible pipelines that produce trustworthy, interpretable results across product surfaces and model iterations.
• Build high‑quality evaluation datasets and human‑in‑the‑loop systems, creating and maintaining gold‑standard datasets for offline and online assessment of generative AI and ML models in the health domain, leading data generation and annotation workflows (clinical and expert ratings, red teaming, preference data, domain‑specific evals), ensuring coverage, data quality, bias mitigation, and alignment with product and safety goals.
• Partner daily with quality & training teams to drive product and model development, collaborating throughout the development cycle, turning product hypotheses into evaluation sets, analyzing fixes, and translating findings into actionable recommendations for model training, tuning, and product launches.

• Understanding of large language models, including architecture, training methods, prompt engineering, and fine‑tuning for specific tasks.
• Hands‑on experience applying LLMs to solve technical problems such as data analysis, data automation, synthetic data generation, optimising model performance for accuracy and efficiency.
• Ph.D. in machine learning, computer science, statistics, operations research or other quantitative fields.
• 10+ years of relevant work experience.

• 5+ years of experience in data science, machine learning, analytics, statistical data analysis and A/B testing.
• Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
• Strong programming skills, including data‑querying (SQL, Spark, etc.) and scripting languages for data processing and development (Python, R, Scala).
• Excellent collaboration skills to achieve impactful results with cross‑functional teams, including PMs, engineers, data scientists.
• B.S. in Machine Learning, Computer Science, Statistics, Operations Research or other quantitative fields.

Base Pay Range: $212,000 – $318,400 per year (depending on skills, qualifications, experience, and location)

Additional compensation: eligible for discretionary bonuses or commission payments, relocation assistance, Apple stock programs (discretionary RSU awards, Employee Stock Purchase Plan at a discount).

Benefits: comprehensive medical and dental coverage, retirement benefits, discounted products and free services, reimbursement for certain educational expenses.

Note:

Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.