Cinder
AI/ML Engineer
$220K–$260K
New York · Hybrid · Full-time · Posted Aug 27, 2026
- Experience
- 5–8+ years of machine learning engineering experience on a small team.
About the job
Build and operate production ML systems that detect harmful content, support moderation decisions, and improve Cinder’s trust-and-safety platform.
What you'll do
- Develop classification and detection systems, choosing approaches that balance accuracy, cost, and latency.
- Build model training, hosting, inference, evaluation, and metrics infrastructure with Engineering and data teammates.
- Create intelligent moderator features and help evaluate the decisions, tools, and costs of AI agents.
What they ask for
- 5–8+ years of machine learning engineering experience on a small team, with a track record of shipping ML systems to production.
- Experience taking classification problems from messy, unlabeled real-world data through production deployment, including under severe class imbalance.
- Strong Python skills and hands-on experience with AI/ML frameworks.
- Experience building ML infrastructure, applying core ML fundamentals, and designing inference systems with latency and throughput targets.
Nice to have
- Databricks experience; AWS and Terraform experience.
Pay
$220K – $260K USD base salary
Tools
Python, PyTorch, scikit-learn, langchain, XGBoost, Databricks, AWS, Terraform
AI focus
Develop production classifiers and other ML systems for harmful-content detection and moderation; evaluate when LLMs are worthwhile versus classical models; build moderator features and agent evaluation infrastructure.
Model-written summary · the original posting is authoritative