PinterestSan Francisco, CAStaff Machine Learning Engineer conducting applied research on multi-modal LLMs, agents, NLP, computer vision, graph neural networks, and recommender systems to improve Pinterest search, recommendations, and discovery. Requires MS/PhD and 6+ years industry experience building production ML models.
Staff Machine Learning Engineer developing state-of-the-art visual encoders and multimodal models at Pinterest Labs. Prototype visual reasoning tools, train billion-scale models on rich visual-text data, ship to production for recommender systems and VLMs, publish research, and mentor juniors. Requires strong CV/ML background, publications, and PhD or equivalent.
Build and scale AI platforms for Rippling's Data Cloud, focusing on schema retrieval, query planning, LLM training pipelines, RL environments, and agent harnesses for intelligent workforce workflows. Requires 8+ years experience with production LLMs, distributed systems, and cloud infrastructure.
Build foundational AI agent infrastructure at Rippling, owning agent creation, invocation, skill packaging, plugin connectivity, and automations. Lead platform and distributed systems work with 8+ years experience, technical leadership, and cross-functional impact.
Leads development of agentic AI systems for public sector, including guardrails, data processing, and fleet orchestration for federal datasets. Mentors engineers, defines technical strategy, and communicates with stakeholders to ensure reliable, secure solutions.
Build and optimize LLM inference infrastructure at enterprise scale for partner and self-hosted frontier models. Requires 8+ years backend/infrastructure engineering experience with distributed systems, real-time serving, and ML/GPU orchestration.