Computer Vision Data Scientist

Summary

Do you have a passion for computer vision and deep learning problems?

The Video Engineering group is looking for a data scientist with a strong emphasis on deep system understanding through data analysis. In this role, you will collaborate with multiple teams (machine learning, quality assurance, cloud infrastructure support, user studies). We work on multiple, related projects requiring a bit of creativity and resourcefulness. You will be able to demonstrate your skills and expertise as we work together to innovate. We are an unusual team in how we operate, and we are looking for creative engineers, physicists, mathematicians, and anyone with room to grow to join us. We are unusual in the sense that our initial work was filling a gap between Face ID Algorithms, Quality Assurance, and User Studies, and we now continue to partner with other Video Engineering teams.

Key Qualifications

Solid background in Data science, Data mining, Multivariate statistics, Computer vision or Machine learning

Experience in building datasets for computer vision tasks

Experience with in depth failure analysis of algorithms

Strong Python and Bash script experience

Experience working with and creating data structures

Experience with big data tools such as presto

Proficiency in Jupyter/pandas/numpy/Matplotlib

Experience in at least one major computer vision machine learning framework/library such as OpenCV

Ability to analyze and debug complex algorithms

Experience presenting data to stakeholders

Creativity and curiosity for solving highly complex problems

Excellent verbal/written communication and collaboration skills

Description

- Analyze Data

- Deep-dive Failure Analysis to provide new points of view

- Discovering perspectives from old data

- Leading reciprocal efforts across multiple teams

- Build Tools for Analyzing and Visualizing Data

- Produce data visualizations to communicate up and across the company

- Design of Experiment (DOE) for engineering studies and large scale user studies

- Conduct/Support data collection and analysis with other groups

- Help define feature specs and expected user experience based on data

Education & Experience

PhD or Masters in Computer Science, Electrical Engineering, Machine Learning, Computer Vision, Mathematics, or similar. Alternatively, a comparable industry career, with significant experience in large-scale data analytics.

Additional Requirements

- C++ knowledge or Matlab experience is a plus

- 3D computer vision or cloud infrastructure experience is a plus

Role Number: 200441916