Find your next AI-scored role.

Platform Engineer at Hebbia building distributed systems for document intelligence and AI-driven financial analysis. Focus on scalable indexing, performance optimization, and infrastructure supporting billions of tokens across trillions in AUM.

Backend engineer at Hebbia building data indexing and retrieval systems for an AI platform serving institutional investors. Focus on APIs, cloud infrastructure, and high-scale document processing to power AI-driven financial analysis.

Backend engineer at Hebbia building agentic systems and distributed infrastructure for AI-driven financial analysis. Focus on document indexing, performance optimization, and multi-agent orchestration at scale.

Backend engineer at Hebbia building the Agent Collaboration platform for financial analysis. Focus on distributed systems, document indexing, and LLM execution infrastructure serving $30 trillion in managed assets.

Applied Research Engineer at Hebbia building agentic systems and LLM-powered capabilities for institutional finance. Focus on NLP, foundation model integration, and production ML systems that power the company's AI platform for asset managers.

Staff Full Stack Software Engineer at Harvey building foundational platform infrastructure and enterprise-facing features for AI-powered legal services. Focus on authentication, permissions, notifications, and collaboration systems for law firms.

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.

Senior Systems Engineer at Nuro building autonomous driving sensor systems. Focus on LiDAR, camera, radar, and IMU integration, safety validation, and perception/localization architecture for self-driving vehicles.

Senior/Staff Systems Engineer at Nuro building verification and validation systems for autonomous vehicles. Responsible for requirements definition, metrics design, and test strategy to ensure safe deployment of the Nuro Driver within its operational design domain.

Senior/Staff Software Engineer at Nuro building metrics to verify autonomous vehicle driving behavior. Develops Python-based evaluation systems combining ML models and safety metrics to assess end-to-end AV behavior across simulation and real-world testing.

Senior/Staff ML Research Scientist at Nuro building generative models for autonomous driving planning. Focus on diffusion models, flow matching, and energy-based models for safe, real-world AV deployments.

Senior/Staff ML engineer at Nuro building online mapping models and algorithms for autonomous vehicles. Focus on training pipelines, data management, and integrating mapping systems into production AV stacks.

Senior Software Engineer at Nuro building synthetic sensor simulation models for autonomous vehicles. Focus on machine learning methods like NeRF and Gaussian splatting to generate photorealistic sensor data for self-driving systems.

Senior Software Engineer at Nuro developing state estimation and sensor calibration algorithms for autonomous vehicles. Combines classical robotics with modern ML techniques on camera, lidar, radar, and IMU data.

Senior Software Engineer at Nuro developing synthetic sensor simulation models using machine learning techniques like NeRF and Gaussian splatting for autonomous vehicle perception systems.

Senior Software Engineer at Nuro building prediction and planning systems for autonomous vehicles. Develops ML-based behavior planning algorithms for L4 robotaxi and L2 fleet applications using deep learning, reinforcement learning, and imitation learning.

Senior ML Research Scientist at Nuro building end-to-end autonomous driving models. Focus on advancing state-of-the-art ML for perception and behavior, working with large-scale datasets and deploying solutions to self-driving vehicles.

Machine Learning Research Scientist at Nuro developing generative models for autonomous vehicle planning. Focus on diffusion models, flow-matching, and reinforcement learning optimization for the Nuro Driver platform.

Machine Learning Research Scientist at Nuro building behavior planning and prediction systems for autonomous vehicles. Focus on generative modeling, reinforcement learning, and trajectory prediction for self-driving technology.

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.

Director of Engineering leading Nuro's evaluation and simulation platform for autonomous vehicle development. Oversees multi-team organization spanning simulation, evaluation infrastructure, and validation workflows that enable rapid iteration and rigorous safety assessment.

Engineering Manager at Harvey leading the Document Platform team. Oversee engineers building document ingestion, understanding, and retrieval systems for legal AI applications. Hands-on leadership with focus on distributed systems, OCR pipelines, and vector databases.