Overview
On Site
Full Time
Skills
User Research
Data Analysis
Qualitative Analysis
Product Development
Publications
Qualitative Research
Usability
Evaluation
Communication
Attention To Detail
Optimization
3D Computer Graphics
Industrial Engineering
Human-computer Interaction
Psychology
Data Collection
Scripting
Data Manipulation
R
MATLAB
Python
Task Analysis
User Experience
Human Factors And Ergonomics
Artificial Intelligence
Research
Workflow
Design Analysis
Job Details
At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences. Imagine what you could do here. Bring passion and dedication to your job and there's no telling what you could accomplish. We are the Human Engineering Human Factors team. We conduct mixed-methods user research and creating actionable insights that guide the design and development of Apple products. The role requires working at the intersection of many disciplines, on a variety of projects and with multiple partners. Curiosity to delve into new domains, the ability to learn from cross-functional, often highly technical partners and quick thinking are key. Ideal candidates are passionate user advocates, with the ability to anticipate, study and observe user interactions. They are technical and competent at setting up, operating and analyzing outputs of quantitative data capture systems, such as Motion Capture. They are also able to intuitively relate to a user's subjective experience and sentiment.
Description The Human Engineering Human Factors team works closely with many teams around the company to conduct human centered research and create actionable insights to inform product decisions. Responsibilities include: Applying Human Factors Engineering (HFE) techniques and principles at all phases of product/technology development Exercising independent judgment in the development of study methodology, data collection efforts, data analysis, conclusions, and design recommendations Developing user study criteria and detailed methodology for widely varied projects, spanning from formative to evaluative, and qualitative to quantitative Conducting user-centered research and evaluation on a diverse user population utilizing experimental data and scientific publications Conducting statistical and qualitative analyses of data and providing clear and concise feedback to teams in a timely manner Collaborating cross-functionally with design, engineering, and product development groups. Maintaining an active working knowledge of worldwide human factors publications and standards
Minimum Qualifications
Preferred Qualifications
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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. Learn more about your EEO rights as an applicant .
Description The Human Engineering Human Factors team works closely with many teams around the company to conduct human centered research and create actionable insights to inform product decisions. Responsibilities include: Applying Human Factors Engineering (HFE) techniques and principles at all phases of product/technology development Exercising independent judgment in the development of study methodology, data collection efforts, data analysis, conclusions, and design recommendations Developing user study criteria and detailed methodology for widely varied projects, spanning from formative to evaluative, and qualitative to quantitative Conducting user-centered research and evaluation on a diverse user population utilizing experimental data and scientific publications Conducting statistical and qualitative analyses of data and providing clear and concise feedback to teams in a timely manner Collaborating cross-functionally with design, engineering, and product development groups. Maintaining an active working knowledge of worldwide human factors publications and standards
Minimum Qualifications
- Expertise in creating thorough experimental designs, utilizing scientific methods
- Mixed methods expertise to combine quantitative and qualitative research approaches
- Relevant, proven experience in human factors and/or consumer product usability evaluation
- Excellent communication and interpersonal skills, attention to detail, patience, and aesthetic sensibility
- Expertise with the optimization and operation of Motion Capture Systems, as well as the ability to track rigid bodies and process 3D position/orientation data
- Master's degree required (doctorate preferred) with a concentration or extensive work in human factors, industrial engineering, cognitive engineering, human-computer interaction, or experimental psychology.
Preferred Qualifications
- Ability to customize data collection tools, as well as manipulate, analyze and visualize outputs
- Experience with scripting/programming for data manipulation and research applications (e.g., R, Matlab, Python)
- Expertise in interview techniques related to product use
- Experience in cognitive engineering (work/task analysis, information processing)
- 2+ years industry experience in Human Factors or User Experience Research
- Experience with human factors engagement through various stages of the product life cycle, including foundational, formative, and evaluative stages
- Experience leveraging AI tools to support research workflows, including study design, analysis, and insights synthesis
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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. Learn more about your EEO rights as an applicant .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.