Our companies are made up of insanely talented people driven to change the world — and many of them are hiring. If you have drive, expertise, and a taste for adventure, we wholeheartedly encourage your interest.
Reality Defender is a groundbreaking security platform offering comprehensive deepfake detection. A Y Combinator graduate, Comcast NBCUniversal LIFT Labs alumni, and backed by DCVC, Reality Defender's proactive deepfake and AI-generated content detection technology is developed by a leadership team with over 20 years of experience in applied research at the intersection of machine learning, data science, and cybersecurity.
With models defending against present and future fabrication techniques, Reality Defender is the best way to detect and deter fraudulent text, audio, and visual content, partnering with government agencies and enterprise clients to enhance security and detect fraud.
Maintain and improve a computer-vision pipeline with modules that do object detection, object tracking, motion smoothing, keypoint localization, etc.
Independently implement and evaluate ideas on modern deep learning stack - Python, PyTorch, and GPU-enabled cloud compute, like AWS/GCP
Collaborate with scientists and engineers across the organization
Proficient in Python with experience using PyTorch and OpenCV
Masters degree in a technical field + 2 years of related experience OR a PhD in a technical field
In-depth understanding of deep learning research
Excellent software engineering skills
Team player with a positive attitude and good communication skills
Experience integrating work into MLOps workflows is a plus