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The Senior Backend Engineer will design and maintain backend systems, ensuring code quality and performance. Responsibilities include developing new features, optimizing existing code, conducting reviews, and collaborating with product teams. The role also involves creating testing frameworks and participating in an on-call rotation for critical incidents.
The Senior Accountant will lead general accounting functions, manage the revenue recognition and collections process, oversee accounts payable, and support audits while transforming processes to drive company decisions and enhance financial reporting.
The role involves designing and building scalable, fault-tolerant distributed machine learning systems, optimizing distributed processing frameworks, collaborating with teams to integrate ML systems, and implementing monitoring systems for performance and health.
As a Customer Support Engineer, you'll resolve complex technical challenges related to AI and GPU clusters for customers, serving as a product expert and technical support liaison. You will collaborate with engineering and product teams to enhance solutions based on customer feedback and maintain detailed documentation for knowledge sharing.
The Product Led Growth (PLG) Marketing Lead will lead Together AI's growth strategy by overseeing the PLG funnel, driving awareness, activation, and monetization. Responsibilities include defining PLG strategy, optimizing developer journeys, enhancing website performance, and building a robust marketing tech stack, while collaborating across functions and reporting on growth initiatives.
The Recruiting Coordinator will manage the recruitment process by working closely with hiring managers and recruiters, coordinating interviews, improving recruitment processes, and ensuring a positive candidate experience. They will handle scheduling, prepare recruitment materials, and maintain communication with candidates throughout the hiring process.
The Project Manager will optimize and scale decentralized GPU resources, manage GPU hardware inventory, implement tracking systems for GPU performance, and improve operational processes. Responsibilities include system monitoring, reporting, cross-functional collaboration with engineering and operations, and maintaining supplier relationships.
The Software Engineer will focus on developing infrastructure solutions for AI/ML applications. Responsibilities include optimizing performance, collaborating with teams to enhance infrastructure management, and researching machine learning systems. The role requires expertise in distributed systems and proficiency in multiple programming languages.
The MLOps Engineer will develop systems and APIs for inference and fine-tuning of large language models, implement runtime systems for production-level ML training, and collaborate with various teams for deploying and maintaining ML inference systems.
The Machine Learning Engineer will optimize AI inference systems, develop runtime inference services, and collaborate with teams to enhance AI capabilities. Responsibilities include designing production systems, conducting code reviews, and implementing robust data processing systems.
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