AI-core

Principal Engineer at Pinterest building foundational agentic 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.

Principal Software Engineer at Coinbase building agentic AI systems and core platform infrastructure for company-wide automation. Focus on multi-agent architectures, LLM reliability, evaluation frameworks, and enabling org-wide AI adoption.

Anthropic Fellows Program in Reinforcement Learning: 4-month full-time research fellowship with mentorship from Anthropic researchers. Fellows work on empirical AI research projects aligned with Anthropic's priorities, with goal of producing public research output.

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

Research Engineer/Scientist at Anthropic's Frontier Red Team building tools and frameworks to defend against AI-enabled cyber threats. Focus on autonomous vulnerability discovery, AI agent evaluation in security environments, and policy-informing demonstrations.

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

Prompt Engineer at Anthropic building system prompts, evaluations, and AI infrastructure for Claude products. Optimize model behavior across consumer and API surfaces, support model launches, and mentor product teams on prompt engineering best practices.

Research Engineer on Anthropic's Post-Training team implementing and scaling Constitutional AI, RLHF, and alignment techniques for production Claude models. Work spans research and production engineering to improve model quality, safety, and capabilities.

Research Engineer at Anthropic building post-training techniques for Claude models. Work on Constitutional AI, RLHF, and alignment methodologies at scale, including pipeline design, evaluation tools, and production model optimization.

Research Engineer on Anthropic's ML Performance and Scaling team, training production pretrained models. Work spans performance optimization, hardware debugging, experimental design, and production incident response across the full training stack.

Staff/Senior Staff ML Engineer and Tech Lead at Scale AI building deep research agents for enterprise. Focus on LLM-powered agentic systems, multimodal intelligence, and advanced retrieval at scale.

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 with researchers, and translating advancements into scalable solutions.

Staff ML Research Scientist/Engineer 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 Machine Learning Engineer at Robinhood building agentic AI systems. Defines evaluation frameworks, guides model selection, and ensures agent systems meet standards for correctness, safety, latency, and user satisfaction across the organization.

Senior Machine Learning Engineer at Robinhood building production AI agents for financial products. Focus on evaluation harnesses, optimization pipelines (DPO, PPO), and deploying fine-tuned models with robust monitoring.

Forward Deployed AI Accelerator at Stripe's Marketing organization. Embed with marketing teams to build custom AI agents, automations, and tools that transform workflows. Coach marketers toward AI-first operations and scale successful patterns across the organization.

Forward Deployed AI Accelerator at Stripe's Marketing organization. Embed with marketing teams to build custom AI agents, automations, and tools that transform workflows. Coach marketers toward AI-first operations and scale successful patterns across the organization.

AI Applied Scientist at Figma building generative AI models and systems to improve design products. Focus on LLM fine-tuning, reinforcement learning, and evaluation infrastructure for production AI features.

Senior AI Engineer at Datadog building Bits AI for Security, an LLM-powered agent for threat investigation and response. Focus on agent design, retrieval strategies, prompt management, and production LLM systems.

Research Engineer at Anthropic building AI-powered observability systems for monitoring training and deployments. Design frameworks to analyze large unstructured datasets and produce structured insights for safety and alignment work.

Senior Staff Machine Learning Engineer at Airbnb building agentic growth platform systems. Focus on AI-powered content generation, ML orchestration for marketing decisioning, and autonomous campaign optimization at scale.

Staff Research Scientist at MongoDB's Voyage AI team building embedding models and rerankers for semantic search and RAG. Conduct cutting-edge research on language models and information retrieval, collaborating with researchers from top institutions.

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, algorithms, training infrastructure optimization, and safety-focused AI systems.

Staff Applied AI Engineer at Scale AI building enterprise GenAI agents and ML solutions. Work directly with clients to develop production AI systems using Scale's platform, from cybersecurity to genomics applications.

Research Engineer at Anthropic building large language models for the pre-training team. Focus on model architecture, training infrastructure optimization, and scaling distributed systems while advancing AI safety and alignment.

Staff Software Engineer at Anthropic building evaluation and research infrastructure for Claude Code. Focus on architecting eval frameworks, scaling research systems, and mentoring engineers at the intersection of ML and engineering.

Staff Machine Learning Engineer at Pinterest building identity and conversion signal models for the ads marketplace. Focus on probabilistic modeling, privacy-preserving attribution, and ML systems that feed ranking, bidding, and measurement across the ads stack.

Research Engineer at Anthropic building reinforcement learning systems for code generation on accelerators. Focus on RL environments, evaluations, and training infrastructure for safe, efficient code synthesis.

Research Engineer in Reinforcement Learning at Anthropic, building RL infrastructure and training methodologies for large language models. Focus on agentic systems, code generation, and reasoning capabilities with emphasis on both research innovation and engineering excellence.

Research Engineer at Anthropic building vision and spatial reasoning capabilities for Claude. Focus on multimodal model development, evaluation, and agentic infrastructure across pretraining, RL, and runtime techniques.

Research Scientist at Anthropic focused on mechanistic interpretability of neural networks. Work involves reverse-engineering how trained models function to improve AI safety and understanding.

Senior Research Scientist at Anthropic leading research on reward models and RLHF for large language models. Focus on novel architectures, LLM-based evaluation methods, and mitigating reward hacking to improve model alignment and safety.

AI Research Scientist at Datadog AI Research (DAIR) building foundation models and trained agents for cloud observability. Focus on multimodal world models, reinforcement learning, and autonomous SRE agents.

AI Research Scientist at Datadog AI Research (DAIR) in Paris, building foundation models and trained agents for cloud observability. Focus on multimodal world models, reinforcement learning, and autonomous SRE agents.

Manager I, Engineering at Datadog leading the CodeGen team building AI systems for code understanding, generation, and automated changes. Responsible for team leadership, technical direction, production systems, and evaluation pipelines for LLM-based code tools.

Senior AI Engineer at Datadog building LLM and agent-based features for Application Performance Monitoring. Focus on debugging, root-cause analysis, and autonomous performance optimization using traces, metrics, and logs.

Senior LLM Engineer at Datadog building AI-assisted developer tools for autonomous test generation, bug fixing, and performance optimization. Focus on LLM agents, prompts, evals, and productionizing systems integrated with Datadog products.

Senior Staff GenAI Engineer at Datadog leading design, development, and deployment of ML/AI-powered features for Application Performance Monitoring. Focus on agentic workflows, model training, evaluation, and cross-team technical strategy.

Staff AI Engineer at Datadog building AI-driven workflows for the Notebooks product. Focus on natural-language data analysis, agent systems, model deployment, and technical leadership of large-scale ML initiatives.

GPU Performance Engineer at Anthropic building foundational systems for Claude inference and training. Focus on GPU kernel optimization, distributed systems, and performance engineering at scale.

Prompt Engineer at Anthropic owning Claude Code's system prompts and behavioral tuning. Ensures consistent, safe user experience across model releases by collaborating with product, research, and safeguards teams.

Research Engineer at Anthropic building pretraining infrastructure for large language models. Focus on model architecture, training optimization, and scaling distributed systems for safe AI development.

Research Engineer at Anthropic building production pretraining infrastructure for frontier language models. Focus on performance optimization, debugging, and reliability across the full training stack at scale.

Applied AI Engineer at Scale AI building enterprise GenAI agents and ML solutions. Work directly with clients to develop production AI systems using Scale's platform, from cybersecurity to genomics applications.

AI Research Engineer at Scale AI building evaluation systems for enterprise LLMs and agents. Focus on LLM-as-a-Judge frameworks, human-rated datasets, and automated evaluation pipelines.

Forward Deployed AI Engineering Manager at Scale AI leading technical integration of AI solutions for enterprise customers. Manages a team building production AI agents, data pipelines, and prompt engineering strategies tailored to customer use cases.

Machine Learning Research Engineer at Scale AI building synthetic data pipelines and agents for enterprise GenAI post-training. Focus on data flywheels, trace analysis, and agent-building algorithms to improve LLM performance.

Machine Learning Research Engineer at Scale AI building multi-agent systems for agentic LLM validation and reliability. Focus on detecting agent failure modes, scaling human judgment, and shipping production fixes for systems powering ChatGPT, Gemini, and Llama.

Machine Learning Research Scientist at Scale AI developing novel post-training techniques for large language models. Focus on SFT, RLHF, reward modeling, and preference optimization to enhance LLM capabilities in text and multimodal domains.

Senior Forward Deployed AI Engineer at Scale AI building production AI agents and integrations for enterprise customers. Combines prompt engineering, agent development, and cloud infrastructure work to deploy custom AI solutions across customer environments.

Software Engineer at Scale AI building next-generation AI development tooling and frameworks. Role focuses on defining developer tools, CI/CD systems, and mentoring engineers using products like Cursor and Claude Code.

Research Engineer, Core ML at Together AI building production inference and RL/post-training systems. Role spans efficient inference algorithms, RL pipelines, and high-performance serving infrastructure to optimize latency, throughput, and model quality at scale.

LLM inference frameworks and optimization engineer at Together AI building distributed inference engines for language and multimodal models. Focus on GPU optimization, tensor parallelism, and high-throughput serving infrastructure.

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

Senior Staff Machine Learning Engineer at Airbnb building trust and safety systems. Focus on fraud detection, anomaly detection, and agentic AI models at scale across the platform.

Senior Staff ML Engineer at Airbnb leading evaluation strategy and data flywheel for generative AI customer support systems. Responsible for designing evaluation frameworks, building data pipelines, and driving quality initiatives across product and engineering teams.

Senior Staff Machine Learning Engineer at Instacart building next-generation shopping experiences using LLMs and agentic AI systems. Hands-on IC role defining technical vision for search, discovery, and personalization at scale.

Director of Enterprise Machine Learning at Scale AI leading a research team on GenAI initiatives including evaluation, post-training, and agents. Responsible for defining research roadmap, mentoring scientists and engineers, and translating research into production systems.

Product Marketing Engineer Intern at Cloudflare building AI-powered agents and web applications to automate GTM functions. Full-stack development using Cloudflare Workers, LLM orchestration, and modern AI coding tools.

Director of Machine Learning Engineering leading the Growth ML function at Pinterest. Oversees multiple ML teams building recommendation, ranking, and personalization systems for user acquisition, activation, and retention across the platform.

Staff Machine Learning Engineer at Pinterest building content understanding models (vision, NLP, multimodal) that power relevance and retrieval across Homefeed, Search, and Ads. Owns full ML lifecycle from data strategy through production deployment and monitoring.

Applied AI Engineer at Anthropic advising AI-native startups on building with the Claude platform. Hands-on technical partnerships including pair programming, architecture design, evaluation frameworks, and developer content.

Forward Deployed Engineer at Anthropic embedding with federal civilian customers to build production AI applications using Claude models. Combines engineering expertise with customer-facing skills to ship advanced AI solutions and deployment patterns.

Research Engineer at Anthropic's Safeguards Labs investigating novel safety methods for Claude. Scope and execute research projects on abuse detection, model safeguards, and production safety systems.

Software Engineer at Vercel building agentic systems for autonomous infrastructure management. Role focuses on designing multi-step agent workflows that investigate, diagnose, and remediate production issues across the Vercel platform.

Forward Deployed AI Accelerator at Stripe embedded with marketing teams to build custom AI tools, agents, and automations. Coach marketers through AI adoption and systematically scale workflow transformations across the organization.

Senior Machine Learning Engineer at Stripe building the Stripe Assistant, an LLM-powered agent platform for merchant support and automation. Focus on agentic architecture, RAG, fine-tuning, and safe execution of high-trust actions at scale.

Senior Research Scientist at MongoDB conducting cutting-edge ML research in code-oriented LLMs, agentic systems, reinforcement learning, and reasoning models. Focus on publishing in top-tier venues and translating research into commercial database products.

Senior Research Scientist at MongoDB's Voyage AI team building embedding models and rerankers for semantic search and RAG. Focus on cutting-edge research in LLMs, information retrieval, and distributed neural network training.

Anthropic Fellows Program — ML Systems & Performance. 4-month full-time research fellowship with mentorship from Anthropic researchers. Focus on empirical projects in ML systems and performance, with goal of producing public research output.

Anthropic Fellows Program offers 4-month full-time AI research fellowships with mentorship from Anthropic researchers. Fellows work on empirical projects in AI safety, security, ML systems, reinforcement learning, or economics with goal of producing public research output.

Anthropic Fellows Program in AI Security: 4-month full-time research fellowship with mentorship from Anthropic researchers. Fellows work on empirical AI security projects with goal of producing public research output.

Anthropic Fellows Program — AI Safety is a 4-month full-time research fellowship for promising technical talent to work on empirical AI safety projects with mentorship from Anthropic researchers. Fellows produce public research outputs (papers, etc.) using external infrastructure and compute funding.

Machine Learning Intern at Pinterest working on recommendation systems, ranking, and NLP problems. Contribute to large-scale ML projects impacting 550M+ users across discovery, ads, and search.

AI Builder Intern at Cloudflare supporting Global Customer Services. Design and deploy AI-driven prototypes using LLMs and RAG, integrate AI capabilities into internal tools, and optimize prompts for customer success workflows.

Software engineer at Databricks building the GenAI inference engine for the Foundation Model API. Focus on LLM serving systems optimization, GPU kernels, distributed inference infrastructure, and performance bottleneck analysis.

Staff software engineer at Databricks building the GenAI inference engine for the Foundation Model API. Focus on architecture, optimization, and scaling of LLM serving across GPUs and accelerators.

Senior GenAI Research Engineer at Databricks optimizing GPU kernels and distributed training for large language models. Focus on CUDA kernel development, parallelism strategies, and performance optimization for LLM training workloads.

PhD GenAI Research Scientist Intern at Databricks working on domain adaptation for LLMs and AI systems. Focus on fine-tuning, evaluation, retrieval augmentation, and efficient inference for enterprise applications.

Sr. Machine Learning Engineer at Pinterest building personalized recommendation systems using deep learning. Focus on large-scale ML systems, data pipelines, and product surfaces including Homefeed, Ads, and Search.

Research Scientist/Engineer at Anthropic focused on honesty and alignment. Develop techniques to minimize hallucinations, enhance truthfulness in language models, and create evaluation frameworks for model accuracy and calibration.

Research Engineer at Anthropic building infrastructure for AI scientist systems. Focus on large-scale distributed systems, training/evaluation pipelines, and containerization to support scientific AGI development.

Research Engineer at Anthropic building and running machine learning experiments to understand and steer AI system behavior. Focus on exploratory research on AI safety, scalable oversight, and alignment stress-testing for advanced systems.

Research Engineer at Anthropic's Alignment Science team in London, building ML experiments to understand and steer powerful AI systems. Focus on AI safety research including control, stress-testing, and robustness evaluation.

Research Engineer at Anthropic building reinforcement learning environments to train Claude for virtual collaborator workflows. Focus on RL pipelines, data creation platforms, and evaluation systems for productivity and enterprise use cases.

Research Engineer in Reinforcement Learning at Anthropic, building RL infrastructure and training systems for large language models. Focus on agentic models, tool use, code generation, and reasoning capabilities at scale.

Research Lead at Anthropic developing evaluation methodologies to measure and characterize model capabilities across training and deployment. Leads a small team of researchers and research engineers on novel evaluation frameworks and long-horizon benchmarks.

Research Scientist at Anthropic's Frontier Red Team focusing on emerging societal risks from advanced AI systems. Design experiments, build evaluations, and develop defenses against risks from autonomous and integrated AI models.

Research Scientist, Societal Impacts at Anthropic analyzing Claude's real-world usage patterns and building evaluations to assess model safety and alignment. Role involves cross-functional collaboration with fine-tuning, safeguards, and policy teams to translate research insights into model improvements.

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

Research Engineer, Interpretability at Anthropic building specialized inference and training infrastructure for mechanistic interpretability research. Focus on scaling bottlenecks, activation extraction tooling, and supporting safety audits on frontier models.

ML Infrastructure Engineer at Anthropic building scalable systems for AI safety evaluations. Focus on real-time and batch inference, monitoring, and productionizing safety research across Claude models.

Staff Research Engineer at Anthropic working on the Discovery Team to build AI systems capable of scientific reasoning and computer use. Focus on identifying bottlenecks across the full model stack, scaling research to production, and developing evaluation frameworks for scientific workflows.

Manager I, Engineering at Datadog leading the Training & Serving team within the AI Platform organization. Responsible for managing 10+ engineers, defining technical roadmap for distributed training and inference infrastructure, and building team culture.

Staff AI Engineer at Datadog building AI-driven workflows for the Notebooks product. Focus on natural-language data analysis, agent systems, and ML-powered features at scale.

Staff GenAI Engineer at Datadog building agentic investigation and incident troubleshooting tools for the APM platform. Lead design, training, evaluation, and deployment of GenAI/ML models at scale with cross-functional teams.

Applied AI Engineer at Anthropic's Beneficial Deployments team, advising mission-driven organizations on LLM deployments, agent architectures, and evaluation frameworks. Combines technical partnership, hands-on prototyping, and ecosystem tooling development.

Applied AI Engineer at Anthropic's Beneficial Deployments team, focused on deploying Claude in life sciences research. Build agents and ecosystem infrastructure (MCP servers, benchmarks) with flagship research institutions like HHMI and Allen Institute to accelerate scientific discovery.

Engineering Manager leading Anthropic's Agent Prompts & Evals team. Owns eval frameworks, system prompt infrastructure, and regression-detection systems that support model launches and product feature development.

Forward Deployed Engineer at Anthropic working directly with strategic enterprise customers to build and deploy production AI applications using Claude models. Combines engineering expertise with customer-facing skills to solve complex business problems while maintaining safety and reliability standards.