Machine Learning Engineer

Eragon • San Francisco, CA

13d

About The Position

We’re looking for a Machine Learning Engineer to build and deploy production-grade AI systems. In this role, you’ll take models from research to real-world applications, designing, optimizing, and scaling systems that power critical workflows across the enterprise. You’ll work closely with research, product, and engineering teams to turn cutting-edge capabilities into reliable, high-performance systems in production.

Requirements

• Bachelor’s or Master’s in Computer Science, Engineering, or related field
• Strong proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX)
• Experience deploying and maintaining ML systems in production environments
• Familiarity with distributed systems, data pipelines, and cloud infrastructure (e.g., AWS, GCP)
• Experience with model training, fine-tuning, evaluation, and iteration at scale

Nice To Haves

• PhD optional

Responsibilities

• Build, fine-tune, and deploy machine learning models into production environments
• Design scalable pipelines for training, inference, evaluation, and monitoring
• Improve latency, throughput, cost efficiency, and reliability of ML systems
• Work with large-scale datasets and integrate models with internal systems and APIs
• Partner with product and engineering teams to deliver end-to-end AI features
• Implement robust evaluation frameworks, observability, and feedback loops

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level