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.
Develop and optimize CUDA-based deep learning systems, designing custom kernels and distributed AI pipelines to maximize GPU performance for training and inference workloads.
The Position A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we…
Marketing Manager Drive the Brand. Inspire the Community. Lead the Hanania Way. Marketing Isn't Just About Advertising—It's About Creating an Experience. At Hanania Automotive Group , we're more than a…
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
About Thinking Machines The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and…
Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more…
Builds and maintains enterprise banking applications using Java, Spring Boot, and microservices, collaborating with product teams to deliver scalable financial systems.
Develops advanced algorithms for partial discharge monitoring and predictive maintenance in energy infrastructure using sensor data, signal processing, and machine learning to detect faults early and improve system reliability.
Build and evaluate AI models (PyTorch/JAX) and help productionize them into APIs and batch workflows under senior guidance.
Staff Software Engineer on Google's MARC team co-designing ML systems between frontier ML workloads and TPU silicon roadmaps, using JAX, PyTorch, Pallas, and XLA.
Leads backend development for a service registry and owner portal, automating service onboarding and configuration via Java, Spring, and microservices.
Builds and deploys AI features end-to-end, turning model capabilities into reliable, real-world user experiences using Python, LLMs, and vector databases.
Build and deploy core ML components for an AI-native assistant that automates daily tasks with high reliability and low latency using Python, PyTorch/JAX, and GPU-based production systems.
Builds and owns end-to-end ML systems for a proactive AI assistant, focusing on long-running workflows, reliability, and real-world task completion using PyTorch/JAX and GPU infrastructure.
Build and ship AI-powered features end-to-end, turning model capabilities into reliable, real-world user experiences using Python, LLMs, and vector databases.
Research and develop cutting-edge LLMs and multimodal AI systems, optimizing model efficiency and scalability for production deployment.
Build and deploy AI models for dating apps like Tinder and Hinge, focusing on matching, Trust & Safety, and user experience using LLMs and multimodal systems.
Build and deploy AI models for online dating apps like Tinder and Hinge, focusing on matching, Trust & Safety, and user experience using LLMs and multimodal data.
Build and optimize ML perception models (object detection, tracking, prediction) for GM’s fallback autonomy stack using camera, lidar, and radar data to safely bring vehicles to a stop when primary autonomy fails.
Build and optimize AI-native weather modeling engines using CUDA, JAX/PyTorch, and distributed cloud pipelines to turn raw sensor data into real-time forecast APIs.
We couldn't check your fit for this role — add a CV to your profile to see it next time.