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Summary:

This role impacts the future of how we develop our devices. This role will quantify, and visualize the effects of fit system donning and stability on our critical VR systems (display and optics, eye tracking, face tracking, hand tracking)

Required Skills:

CFE - Data Scientist Responsibilities:

1. Co-develop a simulation tool that merges subsystem key performance indicators with fit system data

2. Parse and query data relating to physical fit and human factors, often involving physical and mechanical behaviors, high volume spatial/3-dimensional data, and motion over time

3. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement

4. Collaborate cross-functionally with engineering, design, and product teams to translate ergonomic insights into actionable product requirements and design improvements

Minimum Qualifications:

Minimum Qualifications:

5. Bachelor's degree in computer science, or related field

6. 6+ years of experience with Python for statistical analysis, signal processing, and machine learning (NumPy, Pandas, Matplotlib, SciPy, scikit-learn, Jupyter, MATLAB)

7. 2+ years of experience working with large spatial or anthropometric datasets and 3D analysis tools (scipy.spatial, Shapely, Rhino/Grasshopper, Blender)

8. 2+ years of experience making interactive visualizations, dashboards, realtime applications, and data collection pipelines (Plotly, PyQt, OpenGL/Vulkan/etc., LSL, C++)

9. 2+ years of experience practicing coding best practices and version control (Git/GitHub, Mercurial)

10. Demonstrated ability to communicate statistical concepts

Preferred Qualifications:

Preferred Qualifications:

11. Experience or familiarity with 3D scanning, motion capture (especially Qualisys), and eye tracking (especially Tobii)

12. Familiarity with product development workflows including CAD, FEA, and rapid prototyping

13. 10+ years of experience with Python for statistical analysis, signal processing, and machine learning (NumPy, Pandas, Matplotlib, SciPy, scikit-learn, Jupyter, MATLAB)

14. 5+ years of experience working with large spatial or anthropometric datasets and 3D analysis tools (scipy.spatial, Shapely, Rhino/Grasshopper, Blender)

15. 5+ years of experience making interactive visualizations, dashboards, realtime applications, and data collection pipelines (Plotly, PyQt, OpenGL/Vulkan/etc., LSL, C++)

16. 5+ years of experience practicing coding best practices and version control (Git/GitHub, Mercurial)

17. Experience developing plugins and using API’s for Rhino, Grasshopper, and Qualisys

18. Experience developing games, VR applications, or realtime applications with modern graphics APIs and toolkits like Vulkan, OpenGL, Unreal, Unity, and OVRServer

19. Robotics, mechatronics, and instrumentation experience

Public Compensation:

$139,000/year to $200,000/year + bonus + equity + benefits

**Industry:** Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].