Data Infrastructure Engineer

• Developing secure data sharing middleware
• Integrating software seamlessly into the workflows of specialized professionals, ensuring secure and efficient data access throughout the asset recruitment process
• Providing solutions for the full data stack – from the data management, software development and model and deployment lifecycles

• Startup Energy: You thrive in fast-paced environments, manage ambiguity well, and focus on what moves the needle
• Designing and deploying intuitive, user-friendly APIs
• Demonstrated ability to train and deploy models at scale
• Successfully launching machine learning services, particularly those leveraging LLMs, embeddings, and inference, into production environments
• Handling and securing large-scale production data
• Demonstrated proficiency in Python, Go, or C
• A proactive approach to tackling complex challenges in a fast-paced, early-stage environment
• A passion for innovation and a collaborative spirit

• Skills in building and deploying ML-operated Search at scale
• Experience in infrastructure management (Docker, Kubernetes, AWS)
• Expertise in encryption, authentications3, DevOps, or SRE

Equity