ML Data Engineer

Role Overview

Develop systems that integrate diverse scientific data sources into cohesive AI training and inference pipelines.

What You'll Do

• Build data processing pipelines that harmonize theoretical models, scientific literature, and experimental data
• Design feature extraction and representation learning approaches for heterogeneous scientific data
• Implement and optimize multimodal fusion techniques for scientific discovery applications
• Develop evaluation metrics and validation procedures for multimodal scientific AI systems

What You Bring

• Experience with multimodal deep learning architectures and fusion techniques
• Interest in natural language processing for scientific literature analysis
• Background in processing structured scientific data (molecular structures, experimental measurements)
• Software engineering skills with experience in ML systems

Nice to Have

• Experience with knowledge graphs or scientific databases
• Background in information retrieval or search systems
• Understanding of chemistry or materials science concepts

Benefits

• Competitive salary and equity
• Comprehensive health, dental, and vision insurance
• Generous PTO and parental leave