Member of Technical Staff

The Role 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 #J-18808-Ljbffr