3,186 AI Companies jobs
Open roles at AI-native companies — foundation-model labs, ML platforms and applied-AI products.

Senior Product Security Engineer
At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an…




Senior Field Marketing Manager, EMEA
Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge…




Sales Development Representative, ANZ
Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge…


Strategic Finance & Operations Manager
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and…




Advisory CISO
Harvey, an AI platform for legal and professional services, is hiring an Advisory CISO in New York to act as a senior security advisor to customer CISOs and executives. The role bridges go-to-market and engineering, communicating Harvey's enterprise AI security strategy and turning customer feedback into security and product priorities.


Software Engineer - Inference Platform
Builds and operates the distributed runtime behind Baseten's large-scale LLM inference platform — routing, autoscaling, scheduling, and model-serving APIs on Kubernetes and GPU infrastructure — keeping every deployed model fast, reliable, and cost-efficient while improving the developer experience.


Software Engineer - Inference Performance
Baseten is hiring a Software Engineer (Inference Performance) in San Francisco to make LLM inference run faster and cheaper on its AI model-serving platform, working across the stack from GPU kernels and memory layout up to scheduling, serving, and routing. Core technologies: Python/C++, PyTorch, TensorRT-LLM, vLLM/SGLang, and CUDA.




