Member of Technical Staff

Proxima is advancing AI-native drug discovery through foundation-model machine learning, scientific data generation, and protein interaction research. The Member of Technical Staff will own systems supporting drug discovery research, including scientific data pipelines, model training and evaluation, inference, compute infrastructure, APIs, and developer tooling. The role involves taking projects from investigation through deployment and ongoing operation while improving research workflow reliability and performance.

Responsibilities:

• Build reliable scientific workflows that colleagues can run, reproduce, and troubleshoot with less manual intervention
• Integrate models, datasets, and evaluation methods while preserving scientific validity, data correctness, and compatibility with existing experiments
• Improve the performance, cost, and reliability of shared compute through better scheduling, monitoring, failure recovery, and artifact management
• Identify and remove bottlenecks in data preparation, execution, and evaluation so researchers can iterate faster
• Build and maintain APIs, libraries, and automation that reduce manual work and accelerate research
• Identify the engineering gaps that constrain research progress, set priorities with the team, and demonstrate the impact of the solutions you deliver