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Jobs/SQL Jobs/Principal Machine Learning Engineer

Principal Machine Learning Engineer

LimeRemote - USA$240k – $330k+ Equity4d ago
RemotePrincipalNAArtificial IntelligenceNonprofitMachine Learning EngineerPrincipalSQLPythonPandasAirflowGovernance

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Requirements

  • Background in domains relevant to Lime (e.g., forecasting, optimization, pricing, marketplace dynamics)
  • Prior experience building a ML platform or center of excellence through defining ML standards, governance, or shared tooling at scale

Responsibilities

  • Drive alignment across teams on ML strategy, standards, and long-term technical direction by serving as a technical leader for Lime’s ML Center of Excellence
  • Guide recommendations for ML infrastructure, tooling, and architecture (training, serving, feature stores, experimentation, monitoring)
  • Define and evolve ML development processes, including model review, experimentation rigor, deployment, optimization, and operations
  • Establish best practices for ML monitoring, observability, alerting, and model performance health in production
  • Drive reusable feature development patterns and shared ML capabilities that enable teams to move faster and more safely
  • Partner with platform, data, and product engineering teams to ensure ML systems are reliable, scalable, and cost effective
  • Identify and prioritize opportunities where ML will improve Lime’s product, operations, or efficiency
  • Act as a force multiplier by mentoring data scientists and machine learning engineers, raising the quality bar for machine learning across Lime
  • 8+ years of professional experience in software engineering or applied ML, with a record of delivering production level systems.
  • Fluency in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (e.g. SQL, pandas, spark, airflow)
  • Strong foundation in ML fundamentals, including model evaluation, experimentation, optimization, production deployment, and operations
  • Strong system design skills and comfort working with distributed systems
  • Track record of influencing ML architecture and practices across multiple teams

Benefits

  • $240K – $330K • Offers Equity • Offers Bonus
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