Find your next AI-scored role.

Manager II, Machine Learning-Content Success at Pinterest leading a team of backend and ML engineers on recommendation systems and content distribution. Focus on developing signals, integrations, and systems for discovery, ads, and growth products.

Machine Learning Engineer at Pinterest building personalized recommendation systems and ads ranking models. Focus on deep learning, large-scale ML systems, and leveraging LLMs for content understanding within the Monetization Engineering team.

Machine Learning Engineer at Pinterest building personalized recommendation systems and deep learning models for product surfaces like Homefeed, Ads, and Search. Requires 2+ years of ML industry experience with hands-on work on large-scale systems and data pipelines.

Engineering Manager at Pinterest leading the agent platform team. Responsible for designing and scaling agent serving, evaluation, and monitoring infrastructure while hiring and mentoring engineers across all levels.

Engineering Manager I leading a Growth AI Products team at Pinterest. Responsible for shipping AI-led growth products, managing engineers, and partnering with product, design, analytics and ML teams to drive top-of-funnel growth through AI-powered content representation and user experiences.

Director of Product Management for personalized experiences at Pinterest, leading AI/ML-powered discovery and curation features. Partner with engineering, data science, and design to ship products on Home, Search, and Related Pins surfaces.

Director of Data Science leading Trust & Safety, Signals, and Content Understanding at Pinterest. Responsible for building proactive, metrics-driven systems for integrity, user understanding, and content quality at scale across the platform.

Director of Machine Learning Engineering leading the Growth ML function at Pinterest. Oversees multiple ML teams building recommendation, ranking, and personalization systems for user acquisition, activation, and retention across the platform.

AI Solutions Engineer at Pinterest building AI-powered automation tools for internal business functions. Mid-level role combining software engineering with business process design, using agentic frameworks and responsible AI practices.

Research Scientist at Anthropic's Frontier Red Team building tools and frameworks to defend against AI-enabled cyber threats. Focus on autonomous vulnerability discovery, AI agent evaluation in security environments, and policy-informing demonstrations.

Engineering Manager leading Cursor's Model Routing & Inference team. Owns the inference platform powering all AI interactions, managing multi-provider model serving, cluster optimization, and cost/latency tradeoffs at scale.

Software engineer at Cursor building the inference platform that powers AI interactions in the product. Focus on model routing, failover, and cost-effective serving at scale.

Senior Software Engineer at Nuro building AI agent infrastructure and autoresearch systems for engineering productivity. Focus on agent orchestration, sandboxing, ML training pipelines, and developer-facing AI tools.

Senior Principal Product Manager at Gusto leading the design and architecture of an AI-native internal platform ("System of Intelligence") that integrates CRM, service operations, and agentic workflows. Role focuses on transforming how GTM and Service teams work through AI-human-AI loops and real-time assistance tools.

Real-time Video Researcher at Pika, a generative video platform. Lead research on real-time video synthesis, diffusion models, and agentic systems. Publish at top-tier conferences and collaborate with engineering to productionize research.

AI Manager, Compliance Systems at Gusto building AI-powered compliance workflows from the ground up. Design and deploy agents for regulatory monitoring, product reviews, and control testing across payroll and fintech operations.

Research Engineer in Reinforcement Learning at Anthropic building agentic models via tool use and computer interaction. Focus on RL infrastructure, training environments, and scaling systems for autonomous capabilities in Claude models.

Research Engineer at Anthropic building reinforcement learning systems for code generation and accelerator performance. Focus on RL environments, evaluations, and scaling research into production training runs.

Research Engineer at Anthropic building reinforcement learning environments to train Claude for virtual collaborator workflows. Focus on RL pipelines, data creation platforms, and evaluation systems for enterprise productivity tasks.

Research Engineer at Anthropic building empirical AI safety research. Focus on alignment stress-testing, AI control methods, and evaluating robustness of safety techniques on large language models.

Research Engineer at Anthropic building empirical AI safety research. Focus on scalable oversight, AI control, alignment stress-testing, and safeguards for advanced AI systems.

Research Engineer on Anthropic's Post-Training team implementing and scaling Constitutional AI, RLHF, and alignment techniques for production Claude models. Work spans research and production engineering to enhance model capabilities, safety, and alignment.

ML/Research Engineer at Anthropic building safeguards to detect and mitigate misuse of AI systems. Work spans classifiers for harmful use detection, monitoring for coordinated attacks, evaluating agentic product safety, and automated red-teaming research.

Research Scientist/Engineer at Anthropic focused on honesty and alignment. Develop techniques to minimize hallucinations, enhance truthfulness in language models, and create evaluation frameworks for model accuracy and calibration.

Research Lead on Anthropic's Training Insights team, designing and leading novel evaluation methodologies to measure model capabilities across training and deployment. Hands-on leadership role spanning model development lifecycle, with cross-organizational impact on safety and capability measurement.