Hiring: AI/ML Engineer Company: Cinder Location: New York, NY Job Posted Time: 2026-09-03 10:20:17 Target Skills & Keywords : AWS, Bootstrap, CI/CD, Databricks, LLM, LangChain, MLOps, Machine Learning, PyTorch, Python, Terraform, XGBoost, scikit-learn About the job Experience: •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. Required Skills: •Turn real-world customer data into something a model can actually learn from, then decide what model approach fits: a classical classifier when it wins on cost and latency, a fine-tuned LLM when the tradeoff is worth it, a third-party API as a bootstrap. You own the full path from data to decision, not just the model. •Improve our classification pipeline, confidence cascading, and detection strategies so we catch harmful content efficiently — balancing cost, latency, and accuracy deliberately. •Develop intelligent features that help moderators make decisions, organize platform content, and reveal patterns across our data. •Partner with Engineering to build out Cinder's in-house model training, hosting, and inference platform. •Design and build the evaluation and metrics infrastructure customers rely on, including how classifier scores and model outputs are calculated, stored, surfaced, and iterated on. •Partner with our Founding Data Scientist and AI Engineers to shape the agent evaluation architecture — measuring whether our agent fleet is making the right decisions with the right tools at the right cost. •Partner with our Data Engineer to shape the data infrastructure powering our ML systems, ensuring model training, feature pipelines, and production inference have the right data flowing at the right latency and scale. •Mentor teammates and raise the ML bar across the company as Cinder's ML capability matures. Compensation: •$220,000 - $260,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!