Machine Learning Engineer

📋 Description Design, build, and maintain scalable ML systems from data ingestion to deployment. Develop and optimize end-to-end ML pipelines: data collection, training, monitoring. Implement robust MLOps: model versioning, experiment tracking, CI/CD, monitoring. Collaborate with product and engineering to deploy models in real-time products. Ensure data quality, observability, and performance across AI systems. Stay current with AI infra, tooling, and research. 🎯 Requirements Strong experience in ML, deep learning, and NLP. Solid background in MLOps and data pipelines — deployment, monitoring, scaling. Proficiency in Python and familiarity with Go. Experience with ML lifecycle tools: MLflow, Kubeflow, Weights & Biases. Ability to design ML systems for robustness, scalability, automation. Strong coding, debugging, and data engineering skills. 🎁 Benefits Work at a high-growth AI startup backed by top investors. Ownership and autonomy on projects and shipping fast. Healthcare, dental, vision coverage included. Backed by top investors including a16z, YC, Base10. Join a world-class team of engineers and builders. Flexible, fast-paced startup culture.