What are the responsibilities and job description for the AI/ML Systems Engineer position at AIMATX?
Role Overview
Build and optimize production systems for AI/ML training and inference pipelines that handle multimodal scientific data.
What You'll Do
Last Updated: May 20, 2025
Build and optimize production systems for AI/ML training and inference pipelines that handle multimodal scientific data.
What You'll Do
- Design and implement scalable infrastructure for processing multimodal data from theoretical models, scientific literature, and experimental systems
- Develop efficient data pipelines for training and deploying AI models in a scientific discovery context
- Optimize model performance and resource utilization across diverse computational environments
- Collaborate with computational chemists to integrate domain-specific knowledge into data processing workflows
- Experience with ML operations (MLOps) and production AI systems
- Familiarity with frameworks like PyTorch, TensorFlow, or JAX
- Background in distributed computing and/or high-performance scientific computing
- Knowledge of containerization and orchestration tools (Docker, Kubernetes)
- Experience with scientific computing libraries and frameworks
- Background in chemistry, materials science, or related fields
- Contributions to open-source ML infrastructure projects
- Competitive salary and equity
- Comprehensive health, dental, and vision insurance
- Generous PTO and parental leave
- Opportunities for professional development
Last Updated: May 20, 2025