Doordash - San Francisco, CA
posted 2 months ago
The Risk Machine Learning team at DoorDash is at the forefront of developing advanced models that are integral to our anti-fraud systems, operating on a global scale across more than 20 countries. We are seeking a passionate Technical Leader in Machine Learning Engineering to join our team as a Staff Machine Learning Engineer. In this role, you will serve as a trusted advisor to both your manager and peers, extending your influence across various teams within and beyond your area of expertise. Your primary responsibility will be to shape the team's roadmaps, manage ambiguity, identify opportunities, and translate them into clear objectives. You will be accountable for the formation and delivery of the team's Objectives and Key Results (OKRs). Your contributions will have a significant impact as you conceptualize, design, implement, and validate algorithmic solutions aimed at preventing, detecting, and mitigating risks associated with Fraud, as well as enhancing Trust and Safety. You will be excited about the prospect of introducing transformative changes to our risking system. Your role will require a strong command of production-level machine learning, experience in solving end-user problems, and the ability to collaborate effectively with multi-disciplinary teams. You will focus on eliminating single points of failure, including yourself, and work to uplift the skills and effectiveness of your team members. Setting and upholding the highest standards of engineering excellence will be crucial, as you consistently identify areas for improvement and foster a culture of continuous growth. You will report directly to the engineering manager within our Risk Machine Learning team in the Operations Excellence organization.