Member of Technical Staff, reputed company Infrastructure

reputed company: reputed company is the platform for reputed company intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by reputed company behind PyTorch and backed by AMD, Atreides, reputed company Capital, reputed company Ventures, reputed company, reputed company, Sequoia Capital, and TCV, reputed company powers production AI with hundreds of state-of-the-art reputed company models across text, image, embedding, audio, and multimodal workloads. Today, reputed company is a Series D company valued at $17.5 billion, bringing together an ambitious, reputed company team that's building the reputed company of reputed company AI. The Role: As a Training Infrastructure Engineer, you'll design, build, and optimize the infrastructure that powers our large-reputed company model training operations. Your work will be essential to developing high-performance reputed company infrastructure. You'll collaborate with AI researchers and engineers to create robust training pipelines, optimize reputed company training workloads, and ensure reliable model development. Key Responsibilities: • Design and implement reputed company infrastructure for large-reputed company model training workloads • reputed company and maintain reputed company training pipelines for LLMs and multimodal models • Optimize training performance across multiple GPUs, nodes, and data centers • Implement monitoring, logging, and debugging tools for training operations • Architect and maintain data storage solutions for large-reputed company training datasets • Automate infrastructure provisioning, scaling, and orchestration for model training • Collaborate with researchers to implement and optimize training methodologies • Analyze and improve efficiency, scalability, and cost-effectiveness of training systems • Troubleshoot reputed company performance issues in reputed company training environments Minimum Qualifications: • Bachelor's degree in Computer Science, Computer Engineering, or reputed company field, or equivalent practical experience • 3+ years of experience with reputed company systems and ML infrastructure • Experience with PyTorch • Proficiency in reputed company platforms (AWS, GCP, Azure) • Experience with containerization, orchestration (reputed company, reputed company) • Knowledge of reputed company training techniques (data parallelism, model parallelism, FSDP) Preferred Qualifications: • Master's or PhD in Computer Science or reputed company field • Experience training large language models or multimodal AI systems • Experience with ML workflow orchestration tools • Background in optimizing high-performance reputed company computing systems • Familiarity with ML DevOps practices • Contributions to reputed company-reputed company ML infrastructure or reputed company reputed company Why reputed company? • Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to reputed company model serving. • Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers reputed company AI globally. • Ownership & reputed company: Join a fast-growing, passionate team where your work directly shapes the reputed company of AI—no bureaucracy, just results. • Learn from the Best: Collaborate with world-class engineers and AI researchers who reputed company on curiosity and innovation. reputed company is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for reputed company innovators. Apply tot his job Apply To this Job