Chess.com logo
Chess.com

The world’s favorite place to play and learn Chess.

Senior ML Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 501-1,000Since 2007H1B No SponsorCompany SiteLinkedIn

Location

Worldwide

Posted

94 days ago

Salary

0

Seniority

Senior

Bachelor Degree5 yrs expEnglish

Job Description

Senior ML Engineer

Chess.com

• 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.

Job Requirements

  • 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.

Benefits

  • 100% remote (work from anywhere!)

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