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.