"large scale distributed model training" Jobs

Operate and optimize multi-petabyte storage systems for AI workloads at Together AI.

Join Pika as a Research Scientist, Data to architect and scale data engineering systems for multimodal foundation models.

Join Anthropic's Inference team to design and maintain distributed systems serving AI models to millions globally.

Design and deliver multi-petabyte storage systems for AI workloads at Together AI, optimizing performance and cost.

Join Reflection AI to build systems that transform pre-trained models into aligned agents in a fast-paced startup environment.

Join Kodiak Robotics as a Staff Machine Learning Engineer to design and deploy ML systems for autonomous trucking.

Architect and maintain Airbnb’s end-to-end traffic classification ML systems to enhance bot detection and traffic integrity.

Lead the development of next-generation multimodal models at Twelve Labs, impacting thousands of customers worldwide.

Join Pika as a Senior/Staff ML Engineer to enhance AI-driven products through advanced inference acceleration and GPU optimization.

Lead the design and development of systems powering AI requests at Harvey, ensuring high reliability and operational excellence.

Join Reddit as a Staff Machine Learning Engineer to enhance ML efficiency and drive performance improvements across the company's ML ecosystem.

Join Reddit as a Staff Machine Learning Engineer to enhance ML efficiency and drive performance improvements across the platform.

Join Reflection AI as a Member of Technical Staff to research and build solutions for large language models in a fast-paced startup environment.

Join Fireworks AI as a Software Engineer focused on Performance Optimization to enhance AI infrastructure efficiency and speed.

Join Atoms as a Staff Machine Learning Engineer to bridge AI research and real-world physical actuation in autonomous transport.

Lead the design and development of systems powering AI requests at Harvey, collaborating with multiple teams to ensure reliability and efficiency.

Own the inference systems that power frontier AI models in production and research at a tech-first startup.