About GreyNoise GreyNoise Intelligence is a mission driven security startup focused on helping organizations understand and mitigate risks from Internet scanning and exploitation. GreyNoise provides real-time, verifiable intelligence on all actors scanning the Internet and how some
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is
GuidePoint Security provides trusted cybersecurity expertise, solutions and services that help organizations make better decisions and minimize risk. By taking a three-tiered, holistic approach for evaluating security posture and ecosystems, GuidePoint enables some of the nation’s
Location: Portland,Oregon,United States PUBLIC SAFETY EXPERIENCE REQUIRED Pac-Tac Protective Solutions is currently hiring for Unarmed Protection Officers in Oregon. Full-time, Part-Time, and on-call positions are available. Candidates must possess an Unarmed Security License or can get
The Opportunity:Manages a large territory of customer accounts, serving as the primary point of contact post-sale, managing complex negotiations and driving customer satisfaction, retention, and business growth. Engages with clients through a mix of face-to-face meetings
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public