Eragon
Machine Learning Engineer
San Francisco$180k–$230kfulltimemidAdded 2 days ago
About this role
San Francisco-based role focused on productionizing machine learning systems at enterprise scale. You'll shepherd models from research through deployment, optimizing performance and reliability while collaborating across research, product, and engineering teams.
What you'll do
- Build, fine-tune, and deploy ML models to production environments
- Design scalable pipelines for training, inference, evaluation, and monitoring
- Optimize ML systems for latency, throughput, cost, and reliability
- Manage large-scale datasets and integrate models with internal systems and APIs
- Implement evaluation frameworks and observability for deployed models
- Partner with cross-functional teams to deliver end-to-end AI features
What they're looking for
- Python
- ML frameworks (PyTorch, TensorFlow, JAX)
- Production ML systems deployment
- Distributed systems and data pipelines
- Cloud infrastructure (AWS, GCP)
- Model training and fine-tuning
- Performance optimization
- Monitoring and evaluation frameworks
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