Design and develop product features end-to-end, from idea to release, and measure their impact.
Evolve the codebase and infrastructure to keep them fast, maintainable, and reliable as volumes grow.
Collaborate daily with product, data, design, infra, and support teams to turn complex problems into simple solutions.
Sibill is an AI-powered platform that unifies invoicing, payments, treasury, and accounting for Italian SMEs and accountants. The company serves over 5,000 businesses and 300+ accounting firms and is backed by a €12M round led by Creandum; its team of over 130 people values ambition, pragmatism, efficiency, and integrity.
Improve existing machine learning ranking models using core coding skills and ML knowledge.
Take end-to-end ownership of machine learning systems from data pipelines to production integration.
Identify new opportunities to apply machine learning to different parts of the Quora product.
Quora is a global knowledge sharing platform and Poe, a cloud workspace for AI agents. It is a privately held, remote-first company with a culture rooted in transparency, idea-sharing, and experimentation.
Design and build full-stack capabilities supporting AI initiatives across Keeper's product portfolio.
Develop backend services, APIs, and frontend experiences that integrate AI-driven functionality into secure production environments.
Collaborate with AI and product engineering teams to remove technical dependencies and deliver production-ready AI features.
Keeper Security is a cybersecurity software company providing zero-knowledge and zero-trust security solutions that protect passwords, secrets, and infrastructure. It is a fast-growing global organization trusted by millions of users and thousands of enterprises, with a culture focused on innovation and reliability.
Build and scale Affirm's Cache Services on Redis and Valkey, owning cluster migrations end to end.
Productionize cache clusters with capacity planning, failover, upgrades, and automated self-service workflows.
Operate the fleet in production, define SLOs, and partner with client teams on caching strategy.
Affirm is a remote-first fintech company that provides honest financial products with no hidden fees. It values care, transparency, and flexibility, offering fully subsidized health coverage and equity to employees.
Orchestrate production pipelines on Databricks Jobs with task dependencies and failure handling.
Manage model lifecycle in MLflow and Unity Catalog across dev, QA, and production.
Ensure operational continuity with cost monitoring, observability, and incident diagnosis.
Muttdata builds innovative data products and machine learning solutions for demand planning, forecasting, and e-commerce. As a fast-growing, remote-first startup, they value ownership, collaboration, and continuous learning.
Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
Build services for reading, processing, and writing 2D/3D engineering data, plus rendering modules and large-scale datasets.
Implement and optimize post-training workflows for machine learning models and develop domain-specific languages.
Foundation EGI is an MIT-born, venture-backed Silicon Valley startup building an AI Copilot for design and manufacturing. We are a remote-first team with a collaborative culture, offering equity, comprehensive benefits, and professional development opportunities.
Build patient-centered products as a full-stack engineer while advocating for privacy, security, and access to care.
Collaborate with Product Managers, Designers, and stakeholders to deliver high-quality, extensible solutions.
Mentor fellow engineers and contribute to technical standards through code reviews and documentation.
Wisp is a healthcare company on a mission to democratize accessible, high-quality healthcare for women by bringing urgent care, ongoing support, and expert guidance together in one place. They foster a remote-first culture focused on collaboration, mentorship, and employee well-being.
Lead the Database Platform team responsible for the data infrastructure that underpins every NodeZero pentest, finding, and report.
Own data architecture, reliability, and scalability of PostgreSQL and Neo4j stores, with time-series and analytical stores on the roadmap.
Build and mentor a team of ~8 engineers, acting as product owner to translate data platform needs into a prioritized engineering roadmap.
Horizon3 is a remote cybersecurity company that enables organizations to proactively find, fix, and verify exploitable attack vectors through its NodeZero autonomous pentesting platform. The company is a fast-growing team of former special operations cyber operators and engineers, committed to a culture of respect, collaboration, ownership, and results.
Design, implement, and operate high-throughput data ingestion pipelines that transform raw pentest output into structured, queryable data at scale.
Own end-to-end delivery of pipeline features including schema design, implementation, testing, deployment, and monitoring in containerized environments like Kubernetes and AWS.
Partner with downstream teams to define data contracts and resolve production issues in pipeline latency, data correctness, and throughput.
Horizon3 is a fast-growing, remote cybersecurity company that helps organizations proactively find and fix exploitable attack vectors before criminals exploit them via its NodeZero autonomous pentesting platform. The team is a small, collaborative group of former special operations cyber operators and engineers committed to a culture of respect, collaboration, ownership, and results.
Develop data-intensive measurement, analytics, and reporting functionality for business customers.
Work primarily with TypeScript and the Node.js ecosystem, converting analytical requirements into SQL and application logic.
Build AI-enabled product functionality and use AI-assisted coding tools in day-to-day development.
International technology company building a large-scale B2B software platform for data analytics and reporting. The engineering culture emphasizes reliability, test-driven development, and the use of AI-assisted coding tools.