Find your next AI-scored role.

Data engineer at Airtable building scalable data pipelines and analytics infrastructure. Focus on product analytics, AI agent instrumentation, and business intelligence across a no-code platform serving 500k+ organizations.

Staff Forward Deployed Engineer at GitLab helping enterprise customers adopt GitLab and GitLab Duo Agent Platform in complex, regulated environments. Focus on deep technical discovery, architecture design, and building reusable solutions for APJ region strategic accounts.

Staff Software Engineer at Pinterest building AI-first merchant and ads review systems. Leads technical delivery on ML/GenAI initiatives for platform safety and revenue, mentors engineers, and partners across trust & safety, policy, and product teams.

Product Manager at Dropbox defining and driving AI application across GTM systems. Focus on identifying high-impact use cases, integrating AI tools, and enabling sales, marketing, and customer success teams through AI-powered workflows and automation.

Product Manager at Dropbox defining and driving AI application across GTM systems. Focus on identifying high-impact use cases, integrating AI tools, and enabling sales, marketing, and customer success teams through AI-powered workflows and automation.

Treasury Finance AI and Quantitative Analytics role at Stripe building autonomous agents and AI-powered tools for treasury workflows. Combines finance domain expertise with LLM frameworks (LangChain, LangGraph) and Python to automate complex financial operations and risk management.

Software engineer at Stripe building ML infrastructure services for the ML lifecycle, including training, serving, and LLM applications. Focus on scalable, reliable systems that improve ML development velocity across the company.

PhD Machine Learning Engineer (new grad) at Stripe building large-scale ML systems for fraud detection, support, and user behavior prediction. Focus on foundation models and production deployment across financial infrastructure.

PhD Machine Learning Engineer internship at Stripe. Develop and deploy large-scale ML systems for fraud detection, support, and user behavior prediction. Work on foundation models and the Stripe Assistant.

Senior Machine Learning Engineer at Stripe building the Stripe Assistant, an LLM-powered agent platform. Focus on end-to-end ML architecture, RAG pipelines, agentic orchestration, and safe execution of high-trust actions at scale.

Machine Learning Engineer at Stripe building deep learning models for payment fraud detection and authorization optimization. Role spans research, experimentation, and production deployment of foundation models across payment products.

Forward Deployed AI Accelerator at Stripe embedded with marketing teams to build AI tools, agents, and automations that transform workflows. Coaches marketers through AI adoption and scales successful patterns across the organization.

Forward Deployed AI Accelerator at Stripe embedded with marketing teams to build AI agents, automations, and tools that transform workflows. Coach marketers through AI adoption and scale successful patterns across the organization.

Engineering Manager at Stripe leading a new team deploying LLM agents and AI developer tools to accelerate internal engineering productivity. Hands-on manager guiding senior engineers across North America and Europe to build compelling product experiences for internal users.

Engineering Manager at Stripe leading the Agentic Commerce team. Responsible for building APIs and integration experiences that enable AI agents to power online commerce, working across backend services, dashboards, and payment systems.

AI/ML Engineering Manager at Stripe leading three teams within Payment Intelligence. Oversees ML/AI strategy for payments products, decisioning platforms, and foundation model deployment across risk and growth opportunities.

Senior Software Engineer at Databricks building AI product interfaces and agentic applications. Full-stack role combining frontend (React/modern JS) and backend development to create intuitive, human-in-the-loop GenAI workflows in a 0-to-1 environment.

Senior Software Engineer at Databricks building AI agent interfaces and generative AI products. Full-stack role combining frontend (React/modern JS) and backend development to create intuitive, scalable agentic applications in a 0-to-1 environment.

Senior Machine Learning Engineer at Squarespace building next-generation search and ranking systems for domain discovery. Focus on retrieval, ranking, embeddings, and LLM integration for a greenfield ML initiative.

Engineering Manager at Cloudflare leading the Vectorize team, which builds a managed global vector database for AI applications. Responsible for scaling infrastructure supporting billions of vectors while leading technical teams through hiring, mentorship, and execution of high-growth developer products.

Senior Product Manager for Cloudflare One Appliance, a managed hardware and virtual appliance for enterprise network connectivity. Owns product vision, roadmap, and vendor relationships while pioneering AI-driven automation for network configuration and traffic steering.

Staff Data Scientist at Pinterest building ML and causal inference models for the engagement ecosystem. Focus on quantifying tradeoffs between organic engagement and monetization, designing scalable ML frameworks, and mentoring junior scientists.

Infrastructure engineer at Cognition building compute orchestration, container management, and platform systems for Devin (AI software engineer) and Windsurf (AI IDE). Focus on reliability, scale, and sandboxed execution environments.

Senior fullstack engineer at Databricks building GenAI-first vertical AI applications in NYC. Focus on UI/UX for complex data workflows, leveraging modern JavaScript frameworks and server-side technologies in a 0-to-1 product environment.

Senior Computational Biologist at Recursion building target discovery pipelines using patient data and agentic AI tools. Bridges data science and drug discovery by integrating transcriptomics, genetics, and EHR data to identify novel therapeutic targets at scale.