Track record of leading technical work in ML model development and deployment for real business problems. Experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production. Impact-driven approach from problem to measurable production solution. Experience mentoring ML practitioners. Self-starter mindset with proactive identification of impactful issues and opportunities. Extensive experience writing production Python code and strong command of SQL. Keenness to learn Go lang. Thrive working on ambiguous problems and helping stakeholders resolve ambiguity. Product mindset prioritizing customer outcomes and data-informed decisions. Excited about fast-moving ML developments and communicating them to non-experts. Adaptable, curious, and enjoy learning new technologies.