AI Builder

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 reinforcement learning systems for code generation and autonomous software engineering. Design RL environments, reward signals, and training pipelines to advance Claude's coding capabilities.

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.

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 VLMs, LLMs, and large-scale sequence modeling.

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 model training, evaluation, orchestration, and production deployment of LLM-based systems.

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.

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.

Model Research, Optimization, and Training role at Tenstorrent focused on LLM training and inference optimization on custom AI accelerators. Responsibilities include leading R&D efforts, training state-of-the-art models, and translating ML research into production systems.

Senior Director leading Crusoe's AI Model Lifecycle team, responsible for building fine-tuning systems, training pipelines, and managed platforms for large language models. Oversees team of ML engineers and manages end-to-end LLM training infrastructure including SFT, PEFT, LoRA, and reinforcement learning workflows.

Technical Lead Manager for Physical AI at Scale AI, leading a team of research engineers on foundation models for robotics and autonomous vehicles. Role combines hands-on ML research (60%) with team leadership, focusing on VLAs, world models, and large-scale data pipelines.

Research Engineer at Anthropic building post-training systems for Claude models. Implements and optimizes Constitutional AI, RLHF, and alignment techniques at scale on frontier models.

Research Engineer at Anthropic building large language models for pre-training. Focus on model architecture, training infrastructure optimization, and scaling distributed systems to thousands of GPUs.

Research Engineer at Anthropic building production pretraining infrastructure for large language models. Owns performance optimization, debugging, and reliability across the full training stack including hardware, networking, and model operations.

Research Engineer at Anthropic working on pretraining for large language models. Responsibilities include model architecture, training infrastructure optimization, and scientific experimentation on safe, steerable AI systems.

Research Engineer at Anthropic's ML Performance and Scaling team training production pretrained models. Owns critical aspects of pretraining pipeline including performance optimization, hardware debugging, and launch coordination. Requires hands-on LLM training experience or deep expertise with JAX, TPU, or PyTorch at scale.

Research Engineer/Scientist at Anthropic's Pre-training team in Zürich, developing next-generation large language models with focus on multimodal capabilities. Work spans model architecture, training infrastructure optimization, and safety-focused AI systems.

Research Engineer at Anthropic building post-training systems for production Claude models. Implement and optimize Constitutional AI, RLHF, and alignment techniques at scale on frontier models.

Sr. Machine Learning Engineer at Pinterest Labs building Canvas, an internal text-to-image generative model. Prototype diffusion architectures, conduct RLHF fine-tuning, and publish research on visual generative systems.

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 focused on diffusion models, video synthesis, and agentic platform infrastructure. Requires 5+ years in video generation, deep learning, and published research at top conferences.

Staff Machine Learning Research Engineer at Scale AI building post-training algorithms and RL platforms for enterprise agents. Focus on training state-of-the-art models, researching cutting-edge algorithms like RLHF/PPO, and enabling multi-agent systems.

Principal AI/ML Researcher and Engineer at Airbnb leading research and development of Bayesian learning systems, distributional reinforcement learning, and foundational models. Role involves architecting large-scale probabilistic AI systems, integrating LLMs with reasoning frameworks, and deploying production systems impacting personalization and ranking.

Principal Research Scientist leading Databricks' LLM scaling and efficiency research team. Focus on post-training, RL, inference optimization, and distributed systems. Hands-on leadership combining research innovation with production impact.

Principal Research Scientist at Databricks leading a team on LLM scaling, efficiency, and post-training research. Focus on advancing foundation model training and inference optimization through algorithmic innovation and systems collaboration.

Principal Research Scientist at Databricks leading a team on LLM scaling, efficiency, and post-training optimization. Focus on advancing foundation model training and inference through algorithmic innovation and systems collaboration.

AI Researcher, Core ML at Together AI building efficient inference and RL/post-training systems. Role spans algorithms, inference engines (SGLang, vLLM), and production-scale RL pipelines to optimize model speed, cost, and capabilities.

Research Engineer at Letta building post-training techniques for self-improving agentic AI systems. Focus on tool-use optimization, continuous learning mechanisms, synthetic data infrastructure, and agentic capability evaluation.

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.

Senior Staff Frontier Agents Engineer at Scale AI building production AI agents and custom integrations for enterprise customers. Combines deep ML/LLM expertise with customer-facing technical leadership, designing multi-agent systems, RAG pipelines, and deployment architectures.

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.

Sr. Staff Machine Learning Engineer at Pinterest leading technical strategy for ads ranking and bidding models using large-scale ML and agentic development loops. Focus on designing production models, building training/evaluation pipelines, and mentoring senior technical talent across the ads ML stack.

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/Staff ML Research Engineer at Scale AI building production-ready general agents for enterprise use cases. Focus on end-to-end agent system design, evaluation frameworks, and deployment across customers.

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.

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.

Applied AI/ML Scientist at Cerebras Systems developing and customizing large language models on the company's wafer-scale AI chip. Responsibilities include training custom models, fine-tuning LLMs, designing agentic systems, and serving as technical expert for customer AI initiatives.

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

Staff Research Engineer at Anthropic working on the Discovery Team to build AI systems capable of scientific reasoning and computer use. Role spans full-stack ML work including model training, evaluation, inference optimization, and distributed systems to advance toward scientific AGI.

Research Scientist/Engineer at Anthropic focused on honesty and truthfulness in language models. Develop techniques to minimize hallucinations, create evaluation frameworks, and implement RL systems that reward accurate outputs.

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.

Research Engineer/Scientist at Anthropic's Frontier Red Team focusing on AI-enabled cybersecurity threats. Build tools and frameworks for autonomous vulnerability discovery, AI cyber capabilities evaluation, and policy-informed defenses against advanced AI systems.

Staff Machine Learning Scientist at Intercom's Fin AI customer agent platform. Leads ML research and productization of algorithms for customer support automation, mentors engineers, and ships models to production.

Staff Machine Learning Engineer at Reddit leading the Ads Content Understanding team. Responsible for building and scaling NLP/content understanding models, signals pipelines, and LLM-based systems for commercial content classification and safety at Reddit scale.

Principal Engineer on Pinterest's AI Platform team architecting infrastructure for generative AI and recommender systems at petabyte scale. Leads cross-functional initiatives on model training, fine-tuning, and high-performance inference serving hundreds of millions of inferences per second.

Principal Technical Lead at Anduril Industries architecting autonomous robotic systems for defense. Lead team of 8-10 engineers across RL, manipulation, perception, and hardware integration with 6-month delivery timeline.

Machine Learning Systems Research Engineer at Scale AI building post-training algorithms and agent RL training platforms. Focus on optimizing training/inference frameworks, RLHF/RLVR methods, and multi-agent rollout systems for enterprise AI applications.

Machine Learning Research Engineer at Scale AI building state-of-the-art agents through post-training and RL algorithms. Focus on training models, researching cutting-edge algorithms, and deploying agents to enterprise customers.

Senior Machine Learning Engineer at Cresta building agentic AI systems for contact centers. Focus on LLM-powered agents, RAG pipelines, evaluation frameworks, and production ML systems that augment human agents in real time.

Staff Research Engineer at Reddit building post-training and evaluation science for Reddit-native LLMs. Owns evaluation methodology, benchmark design, and post-training recipes for models powering Safety, Search, and Ads.

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 Frontier Agents Engineer at Scale AI building production AI agents and custom integrations for enterprise customers. Combines agent development, prompt engineering, RAG systems, and technical customer engagement across domains like support automation and data analysis.

Marketing Engineer at Figma building AI agents and automated workflows for marketing operations. Focus on designing agentic systems, prompt libraries, and integrations that drive efficiency and revenue impact across the marketing team.

Senior Agentic Engineer at Webflow building AI-powered agents and automations for internal operations. Focus on designing agent workflows, maintaining internal AI libraries, and automating core processes across Engineering, Product, and Design teams.

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

Applied AI engineer at Mistral AI deploying GenAI solutions for critical infrastructure and sovereign institutions. Focus on fine-tuning LLMs, RAG, agentic systems, and production deployment in regulated environments.

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 while feeding signals back to core R&D.

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.

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.

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.

Applied AI Engineer at Mistral AI building production-grade AI systems for customers and internal teams. Role spans full-stack development, customer engagement, and product innovation across GenAI use cases.

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.

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 oversight of fine-tuning, RAG, and agentic workflows.

Manager I, Engineering at Datadog leading a CodeGen team building AI systems for code understanding, generation, and automated changes. Oversees production systems for model serving, evaluation, and PR automation integrated with observability.

Senior Staff Applied AI Engineer at Databricks building the retrieval stack for agents. Owns end-to-end context retrieval across structured and unstructured enterprise data, including query understanding, ranking, evaluation, and agentic search subagents.

Research Engineer at Anthropic building interpretability infrastructure for large language models. Focus on specialized inference/training systems, activation extraction, and steering vector application to enable mechanistic understanding of neural networks.

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 Scale AI focused on safety post-training methods and interpretability techniques for frontier AI systems. Develops post-training pipelines, interpretability-informed evaluations, and collaborates with policymakers to translate findings into safety standards and benchmarks.

Research Lead at Anthropic designing and building novel evaluation methodologies to measure model capabilities across training and deployment. Lead a small team of researchers and research engineers while shaping evaluation strategy across the organization.

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

Head of Computer Vision at PhotoRoom, a Y Combinator-backed e-commerce visual platform. Lead a 10-person ML team building foundational computer vision models and diffusion systems, owning long-term ML strategy and bridging ML with product and engineering.