Computer Vision Engineer

Job Description

TRUST AND SAFETY

What We Do

The Epic Trust and Safety team provides a safer experience for Epic users. We work across multiple products and services to improve technology and craft transparent policies so our players and users can have positive experiences on our platforms.

What You'll Do

You will work with our team of engineers at the intersection of vision, language and machine learning to create state-of-the-art models for content moderation. You will be responsible for the design, implementation and deployment of production-ready computer vision models that are able to detect content violations in both real-time and offline modes, and for different types of data: images, videos and 3D models, as well as the combination of these and other types of data (e.g. text) via multimodal algorithms.

In this role, you will
• Create and deliver production-ready, scalable and high-quality deep-learning models and associated algorithms for computer vision problems.
• Critically assess the effectiveness of such models and make recommendations for the ongoing roadmap.
• Methodically understand and assess the effectiveness of new data channels and support collection/creation of new ones.

What we're looking for
• PhD in Computer Science, Mathematics or related field, or 3+ years of relevant industry experience.
• Experience creating innovative algorithms for problems in Computer Vision and deploying them as production-level systems in industrial environments.
• Expert, hands-on knowledge of:
• Deep learning techniques for supervised, semi-supervised and unsupervised learning
• Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch)
• Experience with working collaboratively with other developers, following a flexible/agile/lean approach.
• Experience with architecting, scaling, securing and operating ML systems in the cloud (ideally AWS) at medium to large scale. Experience with 3D Vision/Graphics or video processing are a plus.

Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

Jobcode: Reference SBJ-rb2426-3-19-56-45-42 in your application.