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Seeking a Machine Learning Engineer to optimize and enhance AI inference systems at scale. Responsibilities include designing and building production systems, developing runtime inference services, collaborating with teams, and ensuring high standards of quality. Requires 3+ years of coding experience, proficiency in Python and PyTorch, and knowledge of low-level operating systems concepts. Preferred experience includes familiarity with AI inference systems and techniques, as well as CUDA/Triton programming. Nice to have knowledge of Rust, Cython, and compilers. Competitive compensation, startup equity, health insurance, and other benefits offered. Equal Opportunity Employer.

Research and build the next generation AI platform at Together AI, design large-scale distributed training systems and low-latency/high-throughput inference engine, stay up-to-date with latest advancements in machine learning systems.

Senior Cloud Engineer responsible for building a highly available, global, multi-cloud PaaS platform for AI workloads. Must have experience with infrastructure-as-code, cloud microservices architectures, Kubernetes, and software development fundamentals.

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.