Find your next AI-scored role.

Research Engineer at Anthropic working on large language model scaling and training infrastructure. Role spans research and engineering across the full ML stack, from low-level optimizations to algorithm design and experimental infrastructure.

Research Engineer at Anthropic building large-scale ML systems and infrastructure. Work spans cluster reliability, training efficiency, scientific experiments, and developer tooling for language models.

Research Engineer/Scientist at Anthropic building audio ML systems. Work spans audio codecs, speech language models, diffusion models, and conversational AI systems with focus on safety and steerability.

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.

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

Performance Engineer at Anthropic optimizing throughput and robustness of large-scale distributed ML systems. Focus on GPU kernels, load-balancing, and systems-level performance for language model inference and training.

Machine Learning Systems Engineer at Anthropic building tokenization and encoding infrastructure for pretraining and finetuning workflows. Focus on data pipeline optimization, ML systems design, and enabling research teams with robust infrastructure.

Engineering Manager at Anthropic leading inference and training performance teams. Responsible for identifying bottlenecks, building robust systems, and managing engineering execution in a fast-paced environment.

Engineering Manager at Anthropic leading GPU/ML accelerator performance and scaling teams. Responsible for improving model inference and training efficiency, managing team execution, and ensuring safe AI system development.

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 validation.

Senior Staff ML Engineer at Reddit leading the GenAI Platform strategy, architecture, and operations. Owns LLM Gateway, RAG systems, agentic workflows, and MLOps standards across the company's AI infrastructure.

Director of Technical Account Management at Airtable leading a team serving strategic Premium Support customers. Owns technical relationships, platform architecture guidance, and AI agent capabilities for enterprise customers building intelligent workflows.

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.

Senior Software Engineer building Reddit's GenAI Platform, focusing on LLM gateway infrastructure, RAG applications, and agentic AI workflows at scale. Requires 5+ years ML/AI platform engineering experience with cloud infrastructure and Python expertise.

Senior Partner Solutions Architect at Airtable designing and delivering scalable no-code solutions for enterprise clients through partner ecosystem. Combines technical expertise in Airtable platform, AI/ML fluency, and partner enablement to accelerate value delivery.

Senior Growth Marketing builder at PhotoRoom, an e-commerce visual platform. Design and ship AI-powered growth experiments (10+ per month) to acquire SMB users, combining marketing instincts with hands-on coding using Claude, Cursor, and Lovable.

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.

AI Agent Architect at Airtable designing and optimizing AI agent systems for customer support. Owns retrieval accuracy, decision logic, safety guardrails, and observability for production AI resolution at scale.

Staff Software Engineer at Gusto building and operating distributed database infrastructure on Kubernetes. Focus on architecting TiDB systems, coordinating zero-downtime migrations, and mentoring the Datastores Infrastructure team.

Senior Product Manager at Gusto/Symmetry leading 0-to-1 payroll tax products. Owns strategy, discovery, and execution for new business lines, working with engineering and cross-functional teams to deliver AI-powered solutions in regulated payroll infrastructure.

Android Software Engineer at Airbnb building Quality Platform infrastructure. Focus on AI-driven testing automation, CI/CD optimization, and developer tooling for high-scale mobile systems.

Head of Chip Architecture at Lightmatter leading the design of photonics-based AI data center interconnect chips. Requires PhD in EE/Physics, 10+ years experience, and proven track record shipping multiple chip architectures to production.

Generative AI Inference Engineer at Stability AI building multi-modal ML inference systems. Focus on optimization, deployment, and productionization of diffusion models at scale using PyTorch, Triton, and cloud infrastructure.

Senior Backend Engineer at Together AI building distributed GPU scheduling and cloud infrastructure for the AI Acceleration Cloud platform. Focus on large-scale, fault-tolerant systems serving inference, fine-tuning, and managed Kubernetes clusters across global data centers.

Senior Software Engineer at Together AI building cloud infrastructure for AI acceleration. Focus on high-performance backend services, Kubernetes operators, GPU virtualization, and globally distributed systems across data centers.