Teams that welcome AI-assisted work

Research Engineer at Anthropic building and running ML experiments on AI alignment and safety. Focus on scalable oversight, AI control, and stress-testing techniques for advanced AI systems.

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.

Research Engineer at Anthropic building next-generation training environments for agentic AI systems. Role blends research and engineering, focusing on reinforcement learning, environment design, and capability evaluation.

Research Scientist at Anthropic focused on mechanistic interpretability of large language models. Develop methods to reverse-engineer neural network algorithms, design experiments at scale, and build infrastructure for understanding model behavior.

Principal AI/ML Researcher and Engineer at Airbnb building reasoning, planning, and decision-making systems. Focus on post-training intelligence frameworks, Large Reasoning Models, reinforcement learning, and multi-agent systems for personalization and operational coordination.

Multimodal LLM Researcher at Pika designing and building foundational technologies for real-time multimodal generation (text, image, video, audio) and agentic systems. Focus on diffusion models, model training/finetuning, and dataset curation for creative infrastructure.

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.

Director of AI Engineering & Research at Anduril Industries leading machine learning teams building agentic and perception systems for defense applications. Owns technical roadmap for embedded warfighting AI, ML infrastructure, and safety-critical deployments.

Distinguished Engineer at GitLab pioneering autonomous agentic SDLC capabilities. Leads hands-on experimentation, reference architecture design, and productization of AI agents for software development workflows across internal teams and customer platforms.

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.

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.

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.

Director of Machine Learning Engineering at Pinterest leading the Content and User Understanding team. Oversees multiple ML and backend engineering teams, sets technical strategy for foundational models powering homefeed, search, ads, and shopping surfaces. Drives innovation in VLM and LLM approaches at scale.

Senior/Staff ML Research Scientist at Scale AI focusing on agent capabilities and environments. Research on LLM agents, RL reward signals, and benchmarking autonomous agent performance across real-world scenarios.

Staff Research Engineer at Decagon building conversational AI models and agents for enterprise support. Focus on training, evaluation, and orchestration to improve reliability and efficiency in production deployments.

Staff Research Engineer at Decagon building voice and speech models for conversational AI agents. Focus on training, evaluation, and production deployment of real-time voice systems for enterprise support.

Staff Research Engineer at Decagon building conversational AI models and agents for enterprise support. Focus on model training, evaluation, orchestration, and production deployment of LLM-based systems.

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

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 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.

Sr. Staff AI/ML Engineer at Gusto building the CoreX AI Platform. Design and scale agent orchestration, RAG infrastructure, eval tooling, and model serving for internal teams shipping AI-powered products.

Staff Software Engineer building Traba's agentic platform for industrial supply chain operations. Lead end-to-end agent architecture, orchestration, evals, and customer system integrations at a Series B startup.

Anthropic Fellows Program in Reinforcement Learning. 4-month full-time research fellowship with mentorship from Anthropic researchers, focusing on empirical RL projects aligned with AI safety and model training. Weekly stipend of $3,850 USD plus compute funding.

Anthropic Fellows Program in AI Safety offers 4-month full-time research positions for promising technical talent. Fellows work on empirical AI safety projects with mentorship from Anthropic researchers, targeting public research outputs.

Head of AI and Machine Learning Engineering at Gusto, leading teams across ML engineering, ML platform, risk data science, and AI research. Responsible for defining AI/ML strategy, building production systems, and scaling platform capabilities across payroll and HR products.

Staff Machine Learning Engineer at Cresta building agentic AI systems for contact centers. Focus on LLM-powered agents, evaluation frameworks, RAG pipelines, and production-scale AI systems.

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

Senior AI Infrastructure Engineer at Intercom's Fin, building training pipelines and inference services for large language models. Focus on GPU optimization, distributed training, and low-latency model serving at scale.

Senior AI Infrastructure Engineer at Intercom's Fin division building training pipelines and inference services for custom LLM models. Focus on GPU optimization, distributed training, and low-latency serving for millions of customer service queries monthly.

Member of Engineering (Reinforcement Learning) at Poolside, a startup building agentic coding assistants. Role focuses on researching and scaling RL algorithms to improve reasoning and code generation in large language models, with access to thousands of GPUs.

Member of Engineering (Post-training) at Poolside, focused on turning pre-trained LLMs into well-aligned AI systems for coding. Responsibilities include building data pipelines, researching post-training algorithms, designing experiments, and maintaining training infrastructure.

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.

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.

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.

Research Engineer at Letta designing long-term memory architectures for LLMs and agents. Focus on memory abstractions, multi-agent collaboration, and context management for self-improving AI systems.

Research Engineer at Letta developing self-improving AI agents. Focus on prompt optimization, continual learning methods, and agentic task efficiency. Requires ML/LLM expertise and track record of impactful research.

Senior/Staff Applied Scientist or Research Engineer at Mistral AI developing state-of-the-art models across text, image, and speech modalities. Responsibilities include pre-training, post-training, model deployment on large GPU clusters, data curation, and cross-functional collaboration on AI solutions.

Research Scientist at Anthropic building Claude into a superhuman life sciences research assistant. Focus on post-training, evaluation design, RL environments, and agentic tools for computational biology workflows.

Research Engineer at Anthropic building reinforcement learning infrastructure and training systems for large language models. Focus on RL training abstractions, distributed systems optimization, and agentic model capabilities including computer use and code generation.

Real-time video researcher at Pika designing foundational technologies for real-time video generation and agentic platforms. Focus on diffusion models, video synthesis, and deploying research into production systems.

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.

Machine Learning Research Scientist at Scale AI focused on reasoning in large language models and LLM-based agents. Role involves studying data types for advancing agent capabilities, collaborating on research, and translating findings into scalable solutions.

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

Research Engineer at Anthropic designing new information architectures for Claude to interact with external data sources. Responsibilities include finetuning language models, building eval sets, and developing agentic search capabilities.

Senior Machine Learning Engineer at Scale AI building agentic systems and computer vision models for government customers. Focus on deploying production LLMs, fine-tuning pipelines, and reinforcement learning for mission-critical applications.

ML Research Resident at Elicit developing computational operators for a research agent that iteratively improves knowledge states over thousands of steps. Focus on designing transparent, epistemically sound reasoning procedures for scientific document analysis and reasoning tasks.