Find your next AI-scored role.

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.

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.

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 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.

Staff Product Manager at Recursion defining agentic systems for autonomous drug discovery. Role bridges AI/ML infrastructure with wet-lab automation, focusing on agent orchestration, reasoning architectures, and closed-loop experimentation in biotech.

Staff Product Manager at Recursion defining agentic systems for autonomous drug discovery. Bridges AI models and automated labs to enable closed-loop experimentation and agent-driven scientific reasoning.

Applied AI Engineer at Mistral AI deploying LLM products with customers from pre-sale through production. Responsibilities include customer onboarding, fine-tuning guidance, RAG/agentic use cases, and collaborating with research and product teams on complex AI implementations.

Principal ML Investigator at Cerebras Systems building ML research and advanced development on the company's wafer-scale AI chip platform. Focus on post-training, dataset optimization, LLM pretraining, sparsity, and domain-specific agents.

Engineering Manager leading Cerebras' ML inference runtime team. Responsible for designing and scaling high-performance inference systems for generative AI models on Cerebras' wafer-scale hardware, managing engineers, and driving cross-functional execution.

Applied Machine Learning Research Scientist at Cerebras Systems building LLM training, fine-tuning, and post-training pipelines on wafer-scale AI hardware. Focus on implementing ML techniques at scale, debugging ML systems, and optimizing training workflows.

AI/ML Research Scientist at Cerebras Systems designing and developing AI models and training methodologies on wafer-scale hardware. Work spans optimization theory, model architecture, and computational science to explore new algorithmic possibilities enabled by novel hardware architecture.

R&D Engineer at Cerebras Systems designing and optimizing AI/ML and scientific computing workloads on wafer-scale hardware. Work spans algorithm design, compiler co-optimization, and hardware architecture to advance state-of-the-art performance benchmarks.

Staff Engineer at MongoDB building AI-powered code transformation tools that modernize legacy applications into microservices architectures. Lead the Code Gen team in designing and optimizing code transformation workflows leveraging LLMs and GenAI capabilities.

Staff Engineer at MongoDB building AI-powered code transformation tools that modernize legacy applications into microservices architectures. Lead the Code Gen team in designing and optimizing code transformation workflows leveraging LLMs and GenAI capabilities.

Product Manager for Figma Make's developer platform, responsible for code generation, execution, and deployment systems. Leads AI agent infrastructure and platform strategy to enable developers and non-technical builders to ship production-quality code.

Engineering Director at Hex Technologies leading multiple teams building an AI context platform for data analytics. Responsible for team strategy, hiring, and technical direction on agent reasoning, context management, and human-in-the-loop systems.

Senior AI Engineer at Datadog building Bits AI for Security, an LLM-powered agent that helps security analysts investigate alerts and respond to threats. Focus on developing retrieval strategies, prompt management, evals, and human-in-the-loop workflows.

Research Engineer at Anthropic building AI observability systems to monitor and analyze large-scale training and deployment data. Design full-stack tools for safety teams to surface patterns and maintain human oversight over AI systems.

Principal Product Manager at Twilio leading product strategy for Console Copilot backend services and AI agent platforms. Focus on building AI orchestration engines, RAG pipelines, and proactive customer assistance systems.

Staff Product Manager at Harvey building the Agent platform for legal professionals. Own end-to-end product for how lawyers interact with AI agents, from problem definition through launch and iteration.

Lead AI Engineer at Webflow building production-grade AI agents and workflows for enterprise operations. Focus on multi-agent orchestration, RAG systems, and operationalizing AI responsibly with governance and monitoring.