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.
Build and deploy AI models that decode brain signals into control signals for medical devices, using transformers and time-series data to restore autonomy for people with disabilities.
Build and fine-tune small, low-latency language and context models for brain-computer interfaces that restore autonomy to people with disabilities.
Build and scale ML infrastructure for brain-computer interface research, including distributed training pipelines, data platforms, and cloud infrastructure to support neuroscientific modeling and neural decoding.
Senior ML Engineer at Echo Neurotechnologies will design and create ML models for time-series data to develop Brain-Computer Interface solutions for people with disabilities, using Python with TensorFlow or PyTorch frameworks.
Leads the integration and deployment of advanced perception models into production ADAS and autonomous driving systems, optimizing performance on automotive-grade hardware using C++, Python, CUDA, and TensorRT.
Designs and maintains the cloud infrastructure and CI/CD pipelines that power Vinci’s physics simulation platform, turning research into production-grade systems for semiconductor customers.
Kard is building commerce media infrastructure that connects financial institutions, financial-services platforms, and merchants through data and merchant-funded rewards. As our reach expands, we are building for a…
Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production…
Backend Engineer builds and scales APIs, infrastructure, billing, and security for Lightning AI’s AI/ML platform using Go, cloud services, and Kubernetes.
Build and deploy production AI systems for customers by designing end-to-end workflows, integrating AI infrastructure, and collaborating with engineering/product teams using Python, Go, React, and cloud-native tools.
Builds and scales the UI and frontend infrastructure for Lightning AI’s platform using React, Redux, and TypeScript, collaborating with engineering, product, and design teams.
Owns and validates GPU-enabled bare-metal infrastructure for AI/ML workloads, automating provisioning, diagnostics, and system bring-up while ensuring reliability and performance.
Designs, scales, and maintains high-performance storage systems for AI/ML training and inference workloads using distributed storage like VAST and Ceph on bare-metal infrastructure.
Designs and secures Lightning AI’s network infrastructure, implementing firewalls, VPNs, IDS/IPS, and segmentation while monitoring threats and ensuring compliance with security standards.
Research Engineer at Lightning AI to optimize AI training and inference workloads on PyTorch Lightning infrastructure, improving performance and scalability for production systems.
Senior engineer secures AI platforms, inference systems, and ML pipelines by threat modeling, code reviews, and automation while collaborating with ML and platform teams.
We couldn't check your fit for this role — add a CV to your profile to see it next time.