Chess.com: Senior ML Engineer

<p> <strong>Headquarters:</strong> California, US <br /><strong>URL:</strong> https://www.chess.com/about </p> <p><strong>About You</strong></p> <p>You believe in the power of ML and AI to build amazing, interesting, and insightful products and services for humanity… and you’d love to do that in chess!</p> <p> </p> <p><strong>What you'll do</strong></p> <ul> <li><strong>Own ML-driven product features</strong>, identifying opportunities through to modeling, deployment, experimentation, and impact.</li> <li><strong>Partner with Product, Leadership, Growth, and Data Science </strong>to determine which problems should (and shouldn’t) be solved with ML, define success metrics, and iterate based on real-world performance.</li> <li><strong>Design, build, and ship scalable ML systems</strong>, including data pipelines, training workflows, and production model serving infrastructure.</li> <li><strong>Prototype rapidly and iterate regularly</strong>, developing repeatable evaluation frameworks, running experiments, and improving models based on results</li> <li><strong>Shape our ML architecture and MLOps practices</strong>, establishing standards for experimentation, deployment, monitoring, and retraining as we scale.</li> <li><strong>Drive innovation in Generative AI</strong>, exploring how we can best use LLMs and agents to power new user experiences and internal productivity tools.</li> <li><strong>Provide technical leadership and mentorship</strong>, mentoring more junior team members, influencing our roadmap, and raising AI/ML literacy across the company.</li> </ul> <p> </p> <p><strong>Preferred Skills</strong></p> <ul> <li>5+ years of demonstrated, hands-on experience building scaled ML systems, training large ML models, or equivalent experience.</li> <li>1+ year of AI engineering experience.</li> <li>Strong technical skills and judgment around coding, testing, and building for scale.</li> <li>Strong practical ML knowledge, solid knowledge of ML theory, and a working understanding of the AI application stack and lifecycle in the context of foundation models, from evaluation to deployment.</li> <li>High sense of ownership and a drive to deliver impact in a fast-paced, evolving, ambiguous environment.</li> </ul> <p> </p> <p><strong>About the Opportunity</strong></p> <ul> <li>This is a full-time opportunity</li> <li>We are 100% remote (work from anywhere!)</li> </ul> <p>---</p> <p>You can learn more about us here:</p> <ul> <li>https://www.chess.com/article/view/how-chess-com-virtual-team-works-together</li> <li>https://www.chess.com/about</li> </ul> <p><strong>To apply:</strong> https://weworkremotely.com/remote-jobs/chess-com-senior-ml-engineer</p>