Research Scientist (Computer Vision and Algorithmic Fairness)

Computer Vision, AI Ethics

Full Time

United States (location flexible)

General Information

Sony AI America (SAIA) is seeking highly motivated, self-driven individuals with expertise in computer vision who are interested in conducting research on algorithmic fairness. We’re currently looking for smart, enthusiastic people who want to join our team of world-renowned researchers as we push the boundaries of applying AI in support of human creativity. In this role, the successful candidate will research, develop and deploy fair, transparent, and accountable technology for image processing and other business areas. Sony AI America is a remote-work organization – location is flexible.

Roles and Responsibilities

  • Execute research programs on computer vision and algorithmic fairness.
  • Work closely with product and compliance teams to address AI ethics questions across Sony's diverse businesses.
  • Work closely with a team of AI researchers and programmers in the U.S., Switzerland, and Japan on ambitious AI projects.
  • Investigate new algorithms to solve fundamental algorithmic fairness problems.
  • Write code to support research, usually in Python, C++, and/or R.
  • Write reports and give presentations for internal audiences.
  • Write papers for and give presentations at academic conferences.

Required Qualifications and Skills

  • PhD or equivalent experience with a track record of relevant academic publications, patents, and/or open source software related to computer vision.
  • Seniority will depend on number of years of work experience after PhD (or equivalent experience).
  • Passion to develop cutting-edge ethical AI technology and deploy it through a multi-stakeholder approach.
  • Experience working with different stakeholders, such as users and product, engineering, legal, and compliance business units.
  • Experience in research on algorithmic fairness, accountability, and transparency, especially around detecting and mitigating bias in computer vision technologies, developing privacy-preserving technologies, and causal inference.
  • Excellent written and oral communication skills, as well as interpersonal skills, including the ability to articulate technical concepts to both technical and non-technical audiences.

Working Location

United States (location flexible)

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