Chess.com
Senior ML Engineer
Rol remoto de Machine Learning Engineer con fit claro de ubicación del candidato.
Publicado10 jun 2026
Países elegibles6 países aceptados
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
AustraliaCanadáAlemaniaIndiaEstados UnidosReino Unido
Resumen del rol
Senior ML Engineer
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Details
- 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.
- 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.
- This is a full-time opportunity
- We are 100% remote (work from anywhere!)
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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