Find your next AI-scored role.

Engineering Manager at Decagon leading the Agent Orchestration team, responsible for the runtime and control plane powering conversational AI agents. Focus on team leadership, technical strategy, and ensuring reliability and correctness across millions of customer interactions.

Engineering Manager, Product at Harvey building platform infrastructure and user-facing features for AI-powered legal services. Leads a fullstack team on core product initiatives including retrieval systems, collaboration interfaces, and LLM evaluation at scale.

Technical Lead Manager at Nuro building evaluation and validation systems for autonomous vehicle intelligence. Leads team designing evaluation agents, metrics, and frameworks to ensure safe scaling of the NuroDriver technology.

Staff ML Research Scientist at Nuro building autonomous driving systems. Focus on perception, prediction, and planning using foundation models, generative models, and reinforcement learning. Deploy solutions to self-driving vehicles in production.

Lead ML Research Scientist at Nuro building autonomous driving systems. Focus on perception, prediction, and planning using foundation models, generative models, and reinforcement learning. Lead technical and people strategy for a large team.

Senior Fullstack Engineer at Harvey building AI-powered legal workflows. Embed with enterprise customers to design, prototype, and productionize agentic AI systems for professional services, integrating with client infrastructure and iterating on adoption.

Director of Customer Engineering at Decagon leading technical delivery of AI agent deployments for enterprise customers. Build and scale a delivery team, manage end-to-end agent builds, and drive product feedback from customer deployments.

Developer Relations Engineer at Sierra building training and enablement programs for AI Agent SDK and Studio. Focus on technical documentation, developer education, and community building around agent development.

Software Engineer, AI Agents at Hightouch building production LLM pipelines and data agents for marketing workflows. Focus on rapid prototyping, AI architecture decisions, and seamless AI-assisted user experiences.

Applied Legal Researcher at Harvey building AI systems for professional services. Combines legal domain expertise with prompt engineering, fine-tuning, and dataset development to accelerate law firm and corporate workflows.

Applied Legal Researcher at Harvey building AI systems for professional services. Combines legal domain expertise with prompt engineering, fine-tuning, and dataset development to accelerate law firm and corporate workflows.

Principal Machine Learning Infrastructure Researcher at Lightmatter building performance modeling tools and systems research for photonics-enabled AI data centers. Lead a small ML engineering team and publish research on training/inference workloads.

Mid/Senior/Staff Software Engineer, Agents at Harvey building agentic systems for legal professionals. Focus on agent design, prompt engineering, model selection, tool creation, and evaluation harnesses to optimize task completion quality.

Research Scientist at Stability AI designing and fine-tuning large-scale Vision-Language Models for multimodal tasks including visual reasoning, 3D understanding, and embodied interaction. Bridges research breakthroughs with scalable training pipelines and production deployment.

Staff Machine Learning Engineer at Airbnb building AI-powered customer support systems. Focus on LLM fine-tuning, RAG, evaluation, and agentic AI products for scalable service experiences.

Member of Engineering at Poolside focused on pre-training and synthetic data generation for coding models. Role involves designing large-scale data pipelines, collaborating with research and product teams, and optimizing dataset quality for training frontier models.

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

Software Engineer at Cursor building ML infrastructure to support large-scale training of agentic coding models. Focus on GPU compute, distributed systems, and training framework optimization.

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.

Staff Research Engineer at Decagon building models and algorithms for real-time voice agents. Focus on speech understanding, naturalness, turn-taking, and production deployment of conversational AI.

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

Deployed Engineer at Cognition building AI software agents for federal clients. Own technical direction of strategic accounts, architect complex deployments, and translate customer needs into product requirements.

Senior Staff Machine Learning Engineer at Airbnb building ML systems for messaging, notifications, and LLM-powered features. Lead ML/data/product engineers on recommendation engines, ranking systems, and intent detection models.

Product Manager at Decagon, a conversational AI platform for enterprise customer experiences. Own roadmap for core platform capabilities including agent building, testing, analytics, and integrations.

Software engineer at Baseten building training infrastructure for AI companies. Own features like multi-node training and serverless RL from conception to production, working across API, backend, and infrastructure layers.