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 and training) for reliability.
• Implement robust MLOps: versioning, experiments, CI/CD, and production monitoring.
• Collaborate with product/engineering to deploy models into real-time products.
• Ensure data quality, observability, and performance across AI systems.
• Stay current with AI infrastructure, tooling, and research.

🎯 Requirements

• Strong experience in machine learning, 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.
• Founder mindset: ownership, independence, willingness to go deep.

🎁 Benefits

• Opportunity to work at a high-growth AI startup backed by top investors.
• Ownership and autonomy to ship impactful ML features.
• Comprehensive healthcare, dental, and vision coverage.
• Work with a world-class team of engineers and builders.
• Strong culture of ownership, craftsmanship, and meritocracy.
• Backed by leading investors like a16z, Y Combinator, Base10.