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.