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As a Site Reliability Engineer at Together, you will ensure the smooth operation of user-facing services and production systems, utilizing automation, operational discipline, and engineering principles. You will manage infrastructure with tools like Ansible, Terraform, and Kubernetes while improving reliability and performance in a collaborative environment.

Systems Research Engineer specialized in GPU Programming, responsible for developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Co-design GPU kernels and model architecture to enhance performance and efficiency of AI systems. Contribute to co-design of efficient GPU architectures and programming models. Stay up-to-date with latest advancements in GPU programming techniques.

As an ML Engineer at Together AI, you will develop a platform for customizing open-source models, collaborate with product and research teams, ensure API reliability, and contribute to the open-source AI ecosystem. Key responsibilities include building systems, creating tooling, ensuring stability, analyzing methods, and developing new features. Ideal candidates have 2+ years of ML deployment experience, knowledge of fine-tuning methods, strong Python or Go skills, and a passion for reliable tools. Standout experiences include large-scale system development, advanced fine-tuning methods, open-source contribution, and ML workload management on Kubernetes.