Job Description We’re looking for a Member of Technical Staff to build and deploy production-grade AI systems. In this role, you’ll work across modeling, systems, and product to take ideas from concept to real-world applications. Key Responsibilities • System Development & Deployment: Build, integrate, and deploy AI-powered systems into production environments • Model Development: Fine-tune, evaluate, and work with machine learning models in real-world applications • Systems Engineering: Design scalable pipelines for training, inference, and data processing • Performance Optimization: Improve latency, throughput, cost efficiency, and reliability of systems • Data & Infrastructure: Work with large-scale datasets and integrate systems with internal tools and APIs • Cross-Functional Collaboration: Partner with product, research, and design to ship end-to-end features • Evaluation & Monitoring: Implement evaluation frameworks, observability, and feedback loops Minimum Qualifications • Education: Bachelor’s or Master’s in Computer Science, Engineering, or related field • Technical Skills: Strong proficiency in Python and modern engineering or ML frameworks • Production Experience: Experience building and deploying systems in production environments • Systems Knowledge: Familiarity with data pipelines, APIs, and cloud infrastructure (AWS, GCP) • Practical ML Experience: Experience working with machine learning models or data-driven systems Nice to Have • Experience deploying or scaling ML systems in production • Familiarity with LLMs, agents, or workflow automation systems • Experience with distributed systems or large-scale infrastructure • Background in fast-paced or early-stage environments