Software Engineer, Trust and Safety
DApp360 Workforce
This job is no longer accepting applications
See open jobs at DApp360 Workforce.See open jobs similar to "Software Engineer, Trust and Safety" Refresh Miami.Software Engineering
Florida, USA
Posted on Jan 21, 2024
DApp360 Workforce is recruiting for an experiencedSoftware Engineer, Trust and Safety for the largest marketplace for non-fungible tokens, or NFTs. When hiring candidates, the protocol looks for signals that a candidate will thrive in their culture, where they default to trust, embrace feedback, grow rapidly, and love the work. They also know how critical it is to celebrate and support our differences. Employing a team rich in diverse thoughts, experiences and opinions enables their employees, their product and their community to flourish. They are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. To help facilitate this, they support remote, hybrid or onsite work at either New York City, San Francisco or the Silicon Valley for the majority of our opportunities They are looking for experienced engineers to join their
Trust and Safety Engineering organization. In this role, you will build the foundational risk platform and detection models. You will deploy risk management features on their product surface to protect the ecosystem. You will collaborate closely with their Product, Policy, Operations, Data, Search & Discovery teams. If you are enthusiastic about earning users trust, and have experience in the adversarial modeling domain, they want to hear from you! Responsibilities
Design and build scalable risk data infrastructure and detection engine with low-latency capability
Design and build platform solutions for human review process, evidence collection, reporting, and more
Develop rules and ML models to detect policy violations and identify bad actors
Define success metrics, design and conduct A/B testing to measure product impact
Partner with Product, Policy, Legal, Operations, and Communications to deploy punitive/corrective/friction solutions
Lead the technical direction to scale our detection, review and enforcement ahead of business growth
If you don't think you meet all of the criteria but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone who is excited to join the team. Desired Experience
Bachelor's degree in Computer Science or related technical field
4+ years of experience in adversarial domains like abuse/fraud/spam prevention, anomaly detection, risk management, trust and safety
Proven record of leading engineering design, implementation, and deployment
Experience with service-oriented architecture, big-data stack, experimentation framework
Experience with one or more ML frameworks: TFX, PyTorch, Scikit-learn, or equivalent
Growth-minded, data, and impact-driven
(Nice to have) Web3 ecosystem experience
The base salary for this full-time position, which spans across multiple internal levels depending on qualifications, ranges between $100,000 to $230,000 plus benefits & equity.
Trust and Safety Engineering organization. In this role, you will build the foundational risk platform and detection models. You will deploy risk management features on their product surface to protect the ecosystem. You will collaborate closely with their Product, Policy, Operations, Data, Search & Discovery teams. If you are enthusiastic about earning users trust, and have experience in the adversarial modeling domain, they want to hear from you! Responsibilities
Design and build scalable risk data infrastructure and detection engine with low-latency capability
Design and build platform solutions for human review process, evidence collection, reporting, and more
Develop rules and ML models to detect policy violations and identify bad actors
Define success metrics, design and conduct A/B testing to measure product impact
Partner with Product, Policy, Legal, Operations, and Communications to deploy punitive/corrective/friction solutions
Lead the technical direction to scale our detection, review and enforcement ahead of business growth
If you don't think you meet all of the criteria but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone who is excited to join the team. Desired Experience
Bachelor's degree in Computer Science or related technical field
4+ years of experience in adversarial domains like abuse/fraud/spam prevention, anomaly detection, risk management, trust and safety
Proven record of leading engineering design, implementation, and deployment
Experience with service-oriented architecture, big-data stack, experimentation framework
Experience with one or more ML frameworks: TFX, PyTorch, Scikit-learn, or equivalent
Growth-minded, data, and impact-driven
(Nice to have) Web3 ecosystem experience
The base salary for this full-time position, which spans across multiple internal levels depending on qualifications, ranges between $100,000 to $230,000 plus benefits & equity.
This job is no longer accepting applications
See open jobs at DApp360 Workforce.See open jobs similar to "Software Engineer, Trust and Safety" Refresh Miami.