Teams that welcome AI-assisted work

Research Engineer at Anthropic building autonomous AI systems and defensive agents to understand and counter adversarial AI. Focus on agent design, evals, robotics integration, and policy-relevant demonstrations.

Research Engineer, Agents at Anthropic building agentic systems and infrastructure for Claude. Focus on agent harness design, benchmarking, evaluation, and model optimization for complex multi-step tasks.

Research Scientist at Cursor building frontier coding agents. Focus on RL training, reward modeling, and data quality for scaling AI-assisted development tools.

Research scientist at Cognition building post-training methods for AI agents. Focus on training recipes, evaluation design, alignment techniques (RLHF, RLAIF), and scaling methodologies for Devin and Windsurf.

Principal Engineer at Pinterest building foundational agentic AI systems for software development. Architect agent runtimes, memory systems, orchestration frameworks, and governance models enabling 3,000+ engineers to work alongside AI agents safely and at scale.

Research scientist at Cognition focused on mid-training optimization for large language models. Responsibilities include data mix design, synthetic data pipelines, annealing schedules, and context length extension to improve model reasoning and coding capabilities.

Applied Scientist / Research Engineer at Mistral AI building state-of-the-art models across text, image, and speech modalities. Focus on pre-training, post-training, data curation, and deploying models on large GPU clusters.

Prompt Engineer at Anthropic specializing in Claude Code system prompts. Owns behavioral tuning, model-specific prompt guides, and incident response for new model releases. Works across product, research, and safeguards teams.

Head of Frontier AI at Anduril Industries, a defense tech company. Lead machine learning strategy for autonomous systems, agents, and perception capabilities deployed in classified military environments. Manage cleared ML engineers and researchers.

Principal Software Engineer at Coinbase building agentic AI systems and core platform infrastructure for company-wide automation. Focus on multi-agent architectures, LLM reliability, and enabling teams to adopt AI workflows at scale.

Generative AI Chief Engineering Lead at Anduril Industries designing agentic software systems and reinforcement learning algorithms for autonomous vehicles. Role focuses on developing advanced AI models for sensor perception, decision-making, and end-to-end system integration in defense technology.

Generative AI Chief Engineering Lead at Anduril Industries designing agentic software systems and reinforcement learning algorithms for autonomous vehicles. Role focuses on developing advanced AI models for sensor perception, decision-making, and end-to-end system integration in defense technology.

Principal Engineer at Intercom building Fin, an AI customer service agent. Role combines hands-on AI system development, strategic technical leadership across 12+ teams, and experimental work on LLM-powered features at scale.

Senior Software Engineer (Security) at Cloudflare building autonomous AI agents for security automation. Focus on agentic AI orchestration, LLM fine-tuning, and deploying multi-agent systems on Cloudflare Workers to replace manual security workflows.

Senior Security AI Engineer at Cloudflare building autonomous agent systems for security workflows. Focus on agentic AI orchestration, LLM fine-tuning, and deploying agents on Cloudflare Workers to automate SOC and vendor assessment tasks.

Staff Applied AI Engineer at StackBlitz leading the technical direction of AI agents that turn natural language into production-ready applications. Shapes agent architecture, multi-provider LLM strategy, tool use systems, and evaluation frameworks across the organization.

AI Chief Engineering Lead at Anduril Industries designing autonomous vehicle systems using deep learning and reinforcement learning. Role focuses on developing agentic software, sensor perception, and end-to-end system integration for military autonomous platforms.

AI Security Fellow at Anthropic conducting 4-month empirical research on AI safety and security. Work on projects like red-teaming, vulnerability research, and control evaluations with mentorship from senior researchers.

ML Systems & Performance Fellow at Anthropic. Four-month full-time research program with mentorship, focusing on empirical projects in ML systems, performance optimization, and infrastructure. Goal is to produce a public research output.

Reinforcement Learning Fellow at Anthropic, a 4-month full-time research program. Build RL environments and conduct empirical research on model training, generalization, and safety, with mentorship from senior researchers and compute funding.

RISC-V AI/HPC & Agentic Software Engineering Lead at Tenstorrent. Optimize LLK infrastructure and lead bring-up of RISC-V-native agentic AI software stacks, including runtime orchestration and distributed execution frameworks. Work at the hardware-software boundary with CPU architects and compiler engineers.

Senior AI Infrastructure Engineer at Intercom building training pipelines and inference services for Fin, the company's customer service AI agent. Focus on GPU optimization, distributed training, and low-latency model serving at scale.

Senior AI Infrastructure Engineer at Intercom building training pipelines and inference services for Fin, the company's customer service AI agent. Focus on GPU optimization, distributed training, and low-latency model serving at scale.

Senior AI Infrastructure Engineer at Intercom building training pipelines and inference services for Fin, the company's customer service AI agent. Focus on GPU optimization, distributed training, and low-latency model serving at scale.

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 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.

Post-training applied researcher at Baseten building reward functions, training pipelines, and eval harnesses to fine-tune open-source LLMs for production use. Work directly with customers on domain-specific model training spanning healthcare, code generation, and agentic workflows.

Director of AI Engineering at Apollo.io, a $1.6B SaaS GTM platform. Lead end-to-end delivery of AI systems spanning agentic workflows, LLM inference, RAG, and personalization at scale. Own strategy, architecture, and a high-impact AI engineering team.

Research Engineer at Cursor building distributed training, inference, and RL infrastructure for frontier coding models. Focus on scaling systems that turn user data into effective training data.

Agentic Operator at Ramp building autonomous AI agents for marketing workflows. Design agent architectures, evaluation frameworks, and self-improving loops that run 24/7 across content generation, campaign ops, and paid channel optimization.

Prompt Engineer at Anthropic building system prompts, evaluations, and infrastructure for Claude products. Role bridges model capabilities and product experience across consumer and API surfaces, requiring 5+ years software engineering and demonstrated LLM/prompt engineering expertise.

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.

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.

Product Engineer at Cognition building end-to-end software agents and AI-native developer tools. Own features across IDE, web, and CLI surfaces; work directly on Devin agent infrastructure and developer experience.

Research Scientist at Scale AI focused on agent robustness, safety, and AI risk evaluation. Work on benchmarking AI agent capabilities, designing evaluation harnesses, and identifying failure modes in agentic systems.

Machine Learning Engineer at Airbnb building agentic AI systems for customer support. Focus on LLM fine-tuning, multi-agent orchestration, RAG, and production ML infrastructure for Chat and Voice AI assistants.

Machine Learning Research Scientist at Scale AI focused on reasoning in large language models and agentic systems. Role involves studying data types for LLM-based agents, collaborating on research, and bringing advancements into scalable solutions.

Senior Staff ML Engineer at Reddit building large-scale search and recommendation systems. Focus on query understanding, retrieval, ranking, LLM integration, and RAG pipelines powering Reddit Search at scale.

Manager I, Engineering at Datadog leading a CodeGen team building AI systems for code understanding, generation, and automated changes. Responsible for team leadership, production systems, evaluation pipelines, and shipping safe, auditable code-change features.

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 Product Engineer at Vellum building an agent platform for non-technical users. Focus on shipping reliable, working agents that anyone can generate from plain language descriptions.

Fullstack Software Engineer at LangChain building production AI agents and workflows. Role involves designing end-to-end agent systems, evaluation pipelines, and deploying solutions across business domains using LangChain/LangGraph.

Senior Applied AI Engineer at StackBlitz building AI agents for Bolt.new, an AI-powered app builder. Focus on LLM integration, agent orchestration, prompt engineering, and multi-step workflows to transform natural language into production-ready applications.

Forward Deployed Research Engineer at Poolside building agentic systems for enterprise customers. Combines software engineering, applied AI research, and product work to deploy high-reliability AI systems in the field and feed signals back to core R&D.

Technical Lead, Applied AI at Mistral AI leading teams to deploy complex AI solutions for enterprise customers. Hands-on role combining IC coding with team mentorship, pre-sales technical guidance, and RAG/agentic system design.

Software Engineer, GenAI at Abridge building LLM-powered clinical documentation systems. Focus on designing agentic workflows, evaluation frameworks, and production deployment of generative AI for healthcare.

Technical Lead, Applied AI at Mistral AI leading teams to deploy enterprise AI solutions. Hands-on role combining IC coding with team leadership on fine-tuning, RAG, and agentic systems.

Software Engineer, Agent at Sierra building production-grade AI agents for enterprise customers. New grad role focused on designing, deploying, and iterating AI agents across finance, healthcare, and commerce sectors.

RISC-V AI/HPC & Agentic Software Engineering Lead at Tenstorrent. Optimize low-level kernel infrastructure and build agentic AI software stacks on custom RISC-V processors, working at the hardware-software boundary.

Research scientist at Cognition designing post-training data strategies for AI agents. Focus on human preference modeling, synthetic data generation, and evaluation design to improve model behavior and alignment.