The AR/VR team at Facebook is helping more people around the world come together and connect through world-class VR hardware and software. With global teams dedicated to VR and AR research, computer vision, haptics, social interaction, AR/VR is committed to driving the state of the art forward through relentless innovation. VR and AR's potential to change the world is immense — and we’re just getting started. The mission for the AR/VR Discovery and Distribution team is to grow VR engagement by creating a healthy two-sided ecosystem for content producers and our users. We enable people to discover amazing VR apps, games, events, and experiences that connect people and keep them coming back into VR. We are looking for a Machine Learning Engineer with industry experience working on a range of classification, optimization and ranking problems, e.g. payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection, as well as strong software engineering skills.
Oculus is proud to be an Equal 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, genetic information, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
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