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.
Design intuitive AI-powered workflows for publishers, turning complex data into simple tools that newsrooms use daily.
Builds frontend prototypes integrating AI, data, and APIs to solve ambiguous mission problems for government clients, collaborating with engineers, data scientists, and customers to rapidly iterate and evaluate solutions.
The Senior Software Engineer will build and scale the Agentic Deal Desk product by developing Java microservices and the underlying AI agent harness. This role focuses on creating reliable, enterprise-grade agent infrastructure using LLMs, tool dispatch systems, and state management engines.
Research Scientist designs and builds deep-learning models for autonomous-vehicle planning and prediction, turning real-world driving challenges into robust ML systems and publishing findings.
Build ultra-realistic autonomous-vehicle simulations using large foundation models to train and evaluate Waymo’s self-driving AI in London, collaborating with teams in Mountain View and Oxford.
Lead the design and development of advanced agentic AI systems for autonomous vehicle evaluation, using LLMs and multi-agent orchestration to automate triage and complex reasoning loops.
Lead the product vision and strategy for Waymo’s autonomous-vehicle simulator, collaborating with engineering and research to integrate AI/ML models and improve simulation realism for safe AV deployment.
Build and operate petabyte-scale ML pipelines and infrastructure to train, benchmark, and deploy foundation models for Waymo’s autonomous driving systems using frameworks like JAX and Flume.
Build and deploy multimodal LLMs and world models for 3D perception in autonomous vehicles using camera, LiDAR, and radar data.
Develops and deploys machine-learning recipes for autonomous-driving agents, working with large-scale data, evaluation pipelines, and foundation models to improve safety and realism.
Build and scale ML systems that continuously improve autonomous vehicle perception models using active learning, data curation, and large-scale pipelines.
The Senior Data Scientist will join the CORPIO team to build data-driven systems for infrastructure capacity planning, demand forecasting, and resource optimization for Waymo's simulation environment. The role involves developing mathematical models and automated pipelines to manage CPU, GPU, and TPU resources efficiently.
Product Manager for C3 AI's Generative AI platform, driving end-to-end feature development, specs, roadmaps, and customer/analyst engagement while collaborating with engineering and data science to build enterprise AI products. Core focus is generative AI, AI/ML platform capabilities, and enterprise software delivery.
Data Scientist who owns the bridge between wet-lab science, automation, software, and AI at LILA Sciences in Cambridge, MA — translating bench experiments into analyses, building reproducible Python-based bioinformatics and data pipelines, and integrating them with the company's data lake and AI platform.
Remote contractor role in Mexico for a senior full-stack engineer (~8+ years) at Research Solutions, mainly backend (~60-70%): designing, building, and optimizing scalable services, APIs, and data systems using .NET/C#, Microsoft SQL Server, and AWS, plus ~20-30% production ops and support. React/Vue frontend skills expected but secondary.
Contract full-stack JavaScript developer building responsive React frontends, secure Node.js/Express microservices, and AWS serverless backends (Lambda, API Gateway, ECS) with search and data integrations (OpenSearch, Kendra, Cognito) for an AWS consulting partner. Remote role, client-facing agile delivery.
Build and deploy AI-powered agents and full-stack applications using Node.js, React, and cloud services to serve thousands of users, focusing on scalability, reliability, and AI integration.
Pre-sales AI Solution Engineer at a generative AI company, leading technical discovery, solution design, POCs, and technical validation for Tier 1 enterprise customers. Core tech includes Python plus Java or TypeScript, RAG/agent orchestration, Kubernetes, Terraform, and AWS/Azure deployments, with 40-80% travel.
Principal ML Engineer at HubSpot builds AI systems that extract context from CRM data to power customer-facing features using deep learning, retrieval, and NLP.
Leads AI-driven finance automation projects, modernizing core finance operations by deploying AI agents and workflow tools to reduce manual effort and improve efficiency across P2P, payroll, and accounting processes.
We couldn't check your fit for this role — add a CV to your profile to see it next time.