Senior ML Engineer

About Us Chess.com is one of the largest gaming sites in the world and the #1 platform for playing, learning, and enjoying chess. We are a team of 600+ fully remote people in 60+ countries working hard to serve the global chess community. We are here to support 200M+ chess players worldwide with the best possible product, content, and tools to serve the community! We are a tech company. A gaming company. A content company. And we do it all with passion and commitment to the game. Above all we prize our mission-driven, flat, life-celebrating, no-corporate culture, and we look forward to meeting you and learning more about what you can bring to the team. About You You believe in the power of ML and AI to build amazing, interesting, and insightful products and services for humanityand youd love to do that in chess! What you'll do

• Own ML-driven product features, identifying opportunities through to modeling, deployment, experimentation, and impact.
• Partner with Product, Leadership, Growth, and Data Science to determine which problems should (and shouldnt) be solved with ML, define success metrics, and iterate based on real-world performance.
• Design, build, and ship scalable ML systems, including data pipelines, training workflows, and production model serving infrastructure.
• Prototype rapidly and iterate regularly, developing repeatable evaluation frameworks, running experiments, and improving models based on results
• Shape our ML architecture and MLOps practices, establishing standards for experimentation, deployment, monitoring, and retraining as we scale.
• Drive innovation in Generative AI, exploring how we can best use LLMs and agents to power new user experiences and internal productivity tools.
• Provide technical leadership and mentorship, mentoring more junior team members, influencing our roadmap, and raising AI/ML literacy across the company.

Preferred Skills

• 5+ years of demonstrated, hands-on experience building scaled ML systems, training large ML models or equivalent experience.
• 1+ year of AI engineering experience.
• Strong technical skills and judgment around coding testing and building for scale.
• Strong practical ML knowledge solid knowledge of ML theory and a working understanding of the AI application stack lifecycle in context of foundation models from evaluation to deployment.
• High sense of ownership drive to deliver impact fast-paced evolving ambiguous environment.

About the Opportunity

• This is a full-time opportunity
• We are 100% remote (work from anywhere!)