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.
A Data Scientist II designs and deploys AI models for customer engagement, partnering with clients to integrate data pipelines and reinforcement learning systems using Python, SQL, and ML libraries.
Who we are Helsing develops artificial intelligence-enabled capabilities to protect and defend democracies. We are growing our US operations, cultivating an ambitio u s and committed team of mission-driven…
Builds and deploys AI/ML models (generative AI, NLP, computer vision, reinforcement learning) for government clients, focusing on cloud-based solutions and data pipelines.
Senior Software Engineer in Google's Labs incubation group, building and deploying ML/AI solutions—including generative AI, ML infrastructure, speech/audio, or reinforcement learning—at scale across Google's products.
The Software Engineer on the RL Data team will design tasks, rewards, and environments to train coding agents. This role involves analyzing agent behavior, building data pipelines, and partnering with research to improve model performance.
The Robotics Senior Digital Designer leads surface design activities for Helsing's robotics portfolio, managing the process from concept to production. The role requires expertise in Class A surfacing tools and manufacturing principles to ensure high-quality, production-ready robotic systems.
Middle Data Scientist builds ML models for personalized loan pricing at a major Russian bank, using Python, SQL, and reinforcement learning to optimize financial metrics like revenue and margin.
Senior Data Science Engineer at dunnhumby in Gurgaon automates Python/PySpark workflows, builds AI-driven data pipelines, and deploys scalable solutions using cloud and orchestration tools.
The Forward-Deployed Data Scientist designs and builds end-to-end machine learning solutions for clients, managing the full ML pipeline from data transformation to model deployment. This role involves direct customer collaboration to drive business value and partnering with product teams to advance reinforcement learning algorithms.
This role involves creating reinforcement learning environments and deterministic verification systems to evaluate AI models on complex software engineering tasks like bug fixing and refactoring. Engineers will use Model Context Protocol (MCP) tools to build reproducible scenarios for AI agent training.
Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their…
Our culture and people are what set us apart from other post-acute care providers. We’re dedicated to the growth and development of our team to set them up for success. We CARE for our patients like they are our own…
Contract Senior Software Engineer (~15 hrs/week) creating reinforcement learning environments and tasks (bug fixing, refactoring, feature dev, performance optimization) to evaluate AI models using Model Context Protocol tools.
Build reinforcement learning environments for AI model evaluation in software engineering tasks (bug fixing, refactoring, optimization) using MCP tools. Design reproducible tasks and deterministic verification systems.
Build reinforcement learning environments for AI training that evaluate software engineering tasks like bug fixing and refactoring using MCP tools.
Part-time contract Senior Software Engineer building Reinforcement Learning environments to evaluate AI models on realistic workflows like debugging, DevOps, and code optimization using C++, Python, Go, TypeScript, Rust, Docker, and Git.
Develops and scales end-to-end ML models for autonomous trucks, mapping multi-modal sensor inputs (LiDAR, camera, radar) to driving outputs like trajectories. Focuses on model performance, data-driven improvements, and cross-team collaboration to enable safe, human-like autonomy in real-world freight operations.
Develops software tools for multi-agent UAV autonomy, bridging simulation and real-world deployment to enable defense customers to design, train, and validate coordinated drone missions. Core tech: autonomy algorithms, reinforcement learning, UAS development, and cross-team collaboration with US-based product engineering.
Build and optimize AI/ML models for computer vision tasks using TensorFlow/PyTorch, deploying scalable solutions on AWS with CI/CD pipelines.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
