Staff Applied Machine Learning Engineer, LLM Applications

6+ years of software engineering experience 2+ years working directly on ML-driven products or intelligent systems Proven ability to lead complex initiatives across engineering, product, and research stakeholders Strong backend development skills (e.g., Python with FastAPI or Flask) Experience with cloud-native tooling (e.g., Kubernetes, Docker, Terraform) Experience integrating LLMs or ML models into production systems, including APIs and user-facing applications Excellent communication skills and a collaborative, product-minded approach Ability to think rigorously about system design, latency tradeoffs, and user impact

Design and build user-facing ML features that harness LLMs and generative AI Partner with product, design, and ML research to prototype and deliver ML-powered experiences Own the technical architecture and implementation strategy for applied ML systems Build scalable services and APIs that bring model outputs to users Collaborate across platform, infra, and legal/compliance teams to ensure ML deployments meet standards Establish and evangelize best practices for prompt design, model evaluation, and experimentation