PinterestSan Francisco, CASr. Staff ML Engineer building backend systems, statistical models, and experiments to optimize Pinterest's ads marketplace and balance long/short-term objectives. Requires MS/PhD (or equiv), 7+ years experience, strong software engineering and math skills.
Technical lead defining ML strategy and systems to improve Pinterest's content ecosystem health, marketplace dynamics, and long-term outcomes. Requires strong ML fundamentals, marketplace thinking, and experience leading high-scale, multi-objective optimization projects.
Builds retrieval stack and search subagents for Databricks AI agents, handling query understanding, hybrid retrieval across structured/unstructured enterprise data, and evaluation. Requires 10+ years in production IR/RAG systems and agentic workflows.
Builds production-grade generative AI systems powering patient engagement, provider workflows, and clinical operations in mental healthcare. Requires 10+ years software engineering, deep Python/cloud expertise, and 2+ years scaling AI products with foundation models and LLM patterns.
Optimize and deploy large multi-modal foundation models (LLMs, VLMs) for real-time inference on power-constrained vehicle SoCs. Focus on quantization, custom CUDA kernels, TensorRT pipelines, resource allocation, and low-latency concurrent C++ code for autonomous systems.
Staff Machine Learning Engineer designing, training, and deploying advanced ML models (DNNs, transformers, RL) for Reddit's large-scale online advertising ranking, optimization, and marketplace systems. Requires Master's, 3+ years experience, technical leadership, and expertise in production ML systems.