Applied Behavioral Scientist

Sunnyvale, California, United States
Machine Learning and AI


Role Number:200525616
At Apple, we strive to achieve surprise and delight for every one of our millions of customers around the world. We are currently looking for an Applied Behavioral Scientist who is passionate about building individualized and adaptive experiences that aim to improve human health and wellbeing. You have expertise in evidence-based approaches to improving adherence, motivation, and efficacy of digital interventions. You have a background in determining whether, how, and when an experience is delivered, with knowledge on how to adapt and readapt experiences in response to the evolving status of the user. You are a great teammate and have a dedication to integrating behavioral science and design in support of deepening our impact on human wellbeing.

Key Qualifications

  • Extensive knowledge in behavioral science (e.g., choice architecture, biases and heuristics, decision-making, reward-related learning, and principles of neuroplasticity)
  • Expertise in building adaptive health/wellbeing digital interventions that increase retention, adherence, and efficacy with novel technologies.
  • Expertise in quantitative and qualitative methods (e.g., reinforcement learning, intervention time series analysis, regression, machine learning, and change point detection methods)
  • A combination of statistical, programming, and domain-specific knowledge for optimizing experiences using diverse data sources (e.g., behavior, sensor, survey)
  • Effective cross-functional communication to translate behavioral science theories, techniques, and statistical findings
  • Comfortable working with scientific computing tools (e.g., Python, MatLab, and ML toolboxes)
  • Prior experience in industry that involved prototyping inference models for productization is a plus.


This is scientific role that requires versatility across a variety of tasks in a highly collaborative environment. Collaborate with scientists and software engineers to maximize the effectiveness of wellbeing and cognitive interventions that are modulated by the user’s initial and changing state (based on self-report, user behaviors, and physiological sensor data). You will You will carry out analyses to pull out meaningful and actionable insights from multimodal datasets You will optimize human-computer interactions in novel technologies using multimodal tools that capture emotional, cognitive, and behavioral dimensions of user engagement and fatigue You will be a subject matter expert on selecting tailoring variables based on evidence (practical, clinical, theoretical, and empirical) to make intervention decisions that impact proximal and distal outcomes

Education & Experience

PhD (or MS and 3 or more years of industry research experience) in Behavioral or Cognitive Psychology, Behavioral Economics, Human-computer Interaction, or related field

Additional Requirements

Pay & Benefits