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Builds and maintains full-stack web and mobile apps for managing autonomous vehicle fleets, using Angular, TypeScript, and backend services.
Develops backend systems and APIs to improve autonomous ride-hail services, focusing on rider experience in complex venues and operational data analysis for Waymo’s fleet.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo…
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader…
Interlune is a space infrastructure and natural resources company based in Seattle, WA. We are building the industrial backbone of the space economy. We are looking for a hands-on leader who wants to accelerate…
Designs and builds vacuum systems and mechanical hardware for space resource utilization, working hands-on from prototype to integration in a high-vacuum environment.
About Us Green Top Farms is a New York-based food service company specializing in farm-fresh meals for enterprise workplace dining and corporate catering. We partner with leading companies to deliver elevated daily…
POS-33330 Manager, Analytics Engineering, Data & AI Foundations HubSpot's mission is to Help Millions of Organizations Grow Better. HubSpot's Operations team is core to this goal by supporting the…
Build and maintain HubSpot’s data foundation and AI-powered analytics pipelines using dbt, Snowflake, and Looker to support scalable ML models and decision-making.
The Staff Analytics Engineer will design and build a modern data foundation, creating reusable architecture, internal tooling, and AI-powered agentic workflows to support analytics and ML products. The role involves optimizing data pipelines, maintaining semantic models, and providing technical leadership to the Analytics Engineering team.
Principal Software Engineer at HubSpot builds and shapes the technical architecture for Revenue Hub, a commerce platform handling billing and payments, using distributed systems and API design to ensure correctness and extensibility.
About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 250,000 businesses…
Machine Learning Engineer at a defense-tech company who owns the training, data, and edge-inference backbone for vision and multi-sensor autonomy models — building data/training pipelines, generating synthetic data, and deploying PyTorch models in real time on Jetson-class embedded hardware.
Lead IonQ’s Delivery Excellence function to coordinate on-premise quantum computer installations, ensuring on-time delivery and customer satisfaction while building scalable program-management systems.
AI Engineer at Noma Security builds the internal AI function from scratch: LLM-powered agents, automation pipelines, MCP servers, and backend integrations (Salesforce, Slack) used company-wide, with end-to-end ownership from design through production monitoring. Core stack is Python, LLM APIs (Anthropic/OpenAI), MCP, REST/webhooks, and automation tools like n8n.
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting…
Location: New York,New York,United States Title: Senior Manager of Category Management Planning, Analytics & Operations Reports to: Senior Vice President of Category Management Watches Division: Category…
Location: Bengaluru, Karnataka, India,None,None About MoEngage: MoEngage is an insights-led customer engagement platform trusted by 1,350+ global consumer brands, including McAfee, Flipkart, Domino’s, Nestle, Deutsche…
Staff Analytics Engineer at Coursera (now merged with Udemy) architects scalable data pipelines and enterprise-wide data models using Airflow, dbt, Databricks, and Sigma, drives data governance and observability standards, and builds self-serve analytics and external data products that power business, analytics, and AI initiatives.
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