Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Leads business development for Scout AI’s Air Dominance division, securing defense contracts for unmanned aerial systems and autonomy programs across the U.S. military.
Build and scale React/TypeScript web apps for Abridge’s AI-powered healthcare documentation platform, ensuring accessibility and performance while integrating with EMR systems.
Leads the physical design and tape-out of advanced AI and data-center SoCs, using EDA tools to optimize performance, power, and manufacturability.
Build and deploy multimodal AI models that coordinate fleets of autonomous defense robots using natural language commands and reinforcement learning.
Build and own the Growth analytics stack for a UK proptech startup: model churn risk, pricing elasticity, and share-of-wallet expansion using raw call transcripts, payments, and property data to automate and scale a lettings platform.
Head of Talent Location: Mountain View, CA Compensation: $150K–$230K depending on experience, plus meaningful early-employee equity. About Atum Works We are building the world's first scalable 3D lithography…
Lead the Finance product for a Mexican used-car marketplace, designing scalable billing, payment, and invoicing flows that integrate with ERPs and payment gateways.
Senior Machine Learning Engineer at Portcast, a Singapore-based logistics technology startup, responsible for taking ML models into production, owning the full lifecycle from research to deployment, and working on visibility, prediction, demand forecasting, and freight audit problems.
About us Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading institutions across…
Late Founder/CTO leading AI/DevOps for a deeptech startup building an AI platform to map and analyze global startup ecosystems, using LLM-based data extraction, entity graphing, and recommendation engines. Oversees R&D, infrastructure, and team growth while shaping product and business strategy.
Teach a part-time online course on deep learning for Computer Vision and NLP, covering PyTorch/TensorFlow, CNNs, RNNs, and practical ML workflows to master’s students.
ML Engineers/researchers specializing in speech/audio or LLMs build next-gen voice AI for healthcare, focusing on medical speech-to-text and clinical documentation. Core work includes training domain-specific models, optimizing inference, and deploying AI systems at scale for clinicians.
Builds and validates healthcare finance data transformations for an AI platform, reverse-engineering customer business rules into Translucent’s unified ontology using SQL and SQLMesh.
Fullstack Engineer at Alloy Robotics building an AI-native data platform for robotics fleets using Next.js/TypeScript and FastAPI/Python, focused on data-dense UIs like 3D playback, time-series, maps, and dashboards.
Software Engineer building a Ruby on Rails and Next.js financial ops platform for insurance, including payments, checkout, and AI-powered data extraction features, on-site in San Francisco.
Build and scale Ascend’s insurance-focused financial operations platform using Ruby on Rails and Next.js, automating premium processing and payments.
Builds and maintains the core financial infrastructure for Whatnot’s live commerce platform, handling billions in transactions monthly—taxes, fees, payouts, and cross-border logistics—while scaling systems to support global marketplace growth.
Full-Stack Engineer building consumer experiences in React and React Native with backend capabilities using TypeScript, Next.js, Node, GraphQL, and Postgres. Owns features end-to-end from idea to production.
Lead a team of data analysts to build and maintain healthcare market datasets, ensuring data quality, governance, and actionable insights for internal and external stakeholders using Python, SQL, and cloud platforms.
Technical Program Manager responsible for the Integrated Master Schedule (IMS) for key programs and products, serving as the central integrator between program, manufacturing engineering, supply chain, and operations timelines in an autonomous factory environment that combines AI, advanced software, robotics, and full-stack manufacturing.
We couldn't check your fit for this role — add a CV to your profile to see it next time.