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Cinder

AI/ML Engineer

Who can apply: Only open to applicants in: New York.
Location as listed by the employer: “New York”
Apply on Cinder's site ↗

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About this role

Cinder is hiring for a AI/ML Engineer role (full-time). See the official posting for full details.

Requirements

  • 5–8+ years of machine learning engineering experience on a small team, with a strong track record of shipping ML systems (gradient boosting, tree-based models, classifiers, embedding-based methods) to production.
  • You've taken a classification problem from messy, unlabeled, real-world data all the way to a model that shipped and served production traffic.
  • You understand LLMs well enough to make an informed, defensible call about when an LLM is worth its cost and latency versus a classic model.
  • Real, hands-on experience building classifiers under severe class imbalance, where the signal you care about is a small minority of the data
  • Thrived in environments where the ML infrastructure wasn't already built for you: you've stood up training pipelines, serving infrastructure, evaluation harnesses, and monitoring from scratch rather than inheriting a ma…
  • Startup or small/mid-size company experience where you owned meaningful scope and had to make pragmatic tradeoffs about what to build, what to buy, and what to defer.
  • Deep fluency with the fundamentals: thoughtful feature engineering, leak-aware train/test splits, metric selection on imbalanced data (precision/recall/F1/AUC over accuracy), cross-validation, and principled hyperparame…
  • Strong Python skills and hands-on experience with AI & ML frame works: (PyTorch, scikit-learn, langchain, XGBoost etc)

Summarized from the employer's posting — check the full posting for every requirement.