Jobs · Engineering

Staff Machine Learning Engineer, Merchants

Ladders · United States · Yesterday
RemoteRemoteEngineering$213k–$314k/yrFull-time

Responsibilities

  • Own end-to-end technical delivery for cross-team ML initiatives from problem framing to implementation
  • Set the technical direction and create execution plans alongside a Director and key cross-functional leaders
  • Develop and refine ML and GenAI systems that enhance merchant understanding and improve shopping experiences
  • Establish robust evaluation and measurement practices for ML systems to ensure quality and performance
  • Create the ML engineering operation model focused on quality standards and sustainable ownership
  • Collaborate with cross-functional stakeholders to crystallize ambiguous needs into actionable ML projects
  • Lead experimentation initiatives and error analysis to drive measurable improvements in user trust

Qualifications

  • 8+ years of experience in ML engineering or related fields, with leadership in production systems as a Staff-level IC
  • Proven track record of leading 0-1 ML/LLM projects from ambiguity to production with measurable results
  • Experience shipping ML systems in recommendation, ranking, retrieval, or commerce domains with impact on product
  • Hands-on experience deploying LLM-powered applications in production, focusing on reliability and practical tradeoffs
  • In-depth knowledge of evaluation practices including dataset strategy and connecting offline/online metrics
  • Strong systems design abilities for ML-intensive solutions with an eye on performance and scalability
  • Excellent communication skills for influencing technical directions across teams

Benefits

  • Equitable and inclusive workplace culture
  • Hybrid work model with weekly in-office collaboration
  • Opportunities for mentorship and professional development
  • Fertile team fostering creativity and innovation
  • Access to a comprehensive set of benefits for well-being and work-life balance

Pay

$213,180 – $314,160 annually

Schedule

Hybrid work model with weekly in-office collaboration

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