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.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of…
Research Engineer in Reinforcement Learning (RL) at Anthropic develops agentic AI models for autonomous tasks like coding and software generation, advancing Claude’s capabilities while ensuring safety and scalability. Core work spans RL infrastructure, distributed training, and prototype development for internal AI systems.
Build and optimize the reinforcement-learning training infrastructure that lets researchers iterate quickly on model training runs, using distributed systems and ML frameworks like JAX or PyTorch.
Senior engineer builds and scales Kubernetes control planes for AI compute fleets, extending the scheduler and core services to handle thousands of accelerators across multiple clouds.
Build and maintain AI safety systems that detect misuse, monitor model behavior, and enforce safeguards at scale using Python and multi-layered defenses.
Designs and operates AI-scale compute clusters, automating provisioning, security, and lifecycle management across clouds and datacenters to support model training and production services.
Build and maintain the distributed systems that keep Anthropic’s AI models reliable, designing observability, SLAs, and incident response for large-scale model serving across regions and cloud providers.
The Staff Software Engineer will design and maintain high-performance distributed systems to serve Claude models at scale, focusing on request routing, fleet orchestration, and infrastructure optimization. The role involves working across cloud platforms and AI accelerators to ensure reliable, efficient model inference for millions of users.
Build and scale Anthropic’s CI infrastructure, including Kubernetes-based test execution, merge queues, and intelligent test selection to support thousands of daily builds across multiple clouds.
Senior engineer designs and maintains AI compute infrastructure, including GPU/TPU clusters across clouds, to support Anthropic's AI model training and deployment.
Build and optimize AI inference systems to serve millions of users, focusing on distributed systems, performance tuning, and multi-accelerator deployments across cloud platforms.
Product Marketing Manager AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify…
Oversee strategic healthcare customers' implementation of a SaaS platform that uses AI and data to improve medical technology adoption, partnering with sales and engineering teams.
Develops and maintains cybersecurity and systems engineering documentation for test equipment in defense/aerospace environments, ensuring compliance with standards and supporting formal review processes.
Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects…
Hey there! We’re Fever, the world’s leading tech platform for culture and live entertainment. Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and…
Designs and builds data pipelines and AI solutions to power analytics and machine learning across Microsoft’s Azure cloud infrastructure and hardware engineering teams.
About Cartesia Our mission is to architect AI that learns from and interacts with the world like humans do. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
