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As a Senior ML Engineer, you'll own ML-driven features from modeling to deployment, drive innovation in generative AI, and mentor junior members.
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 humanity… and you’d 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 shouldn’t) 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 and lifecycle in the context of foundation models, from evaluation to deployment.
- High sense of ownership and a drive to deliver impact in a fast-paced, evolving, ambiguous environment.
About the Opportunity
- This is a full-time opportunity
- We are 100% remote (work from anywhere!)
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You can learn more about us here:
- https://www.chess.com/article/view/how-chess-com-virtual-team-works-together
- https://www.chess.com/about
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San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
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- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
