Search the 20 jobs at Together AI

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.

Design and implement automated testing processes using Python, Golang, or TypeScript. Develop test automation strategies, maintain test frameworks, execute test scripts, and collaborate with engineering and product teams to ensure software quality. Stay current on testing tools and trends to drive process improvements.

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.

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.

As a Sales Development Representative at Together AI, you will be responsible for building a robust pipeline of sales opportunities for the Together platform, including GPU and API platform sales. You will work closely with Account Executives to develop leads and conduct high volumes of cold calls and emails to prospective customers.

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.

Senior DevOps Engineer responsible for developing and optimizing cloud infrastructure for AI workloads on distributed GPU hardware. Requires 5+ years of DevOps experience, proficiency in programming languages, and expertise in CI/CD, cloud computing, and Kubernetes.

AI Researcher responsible for developing novel architectures, system optimizations, and algorithms to push the frontier of open models. Collaborate with cross-functional teams and stay updated on the latest advancements in machine learning. Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or related field required.

The Research Systems Engineer will design, implement, and maintain HPC clusters and cloud environments, ensuring seamless operation for research activities. Responsibilities include troubleshooting system issues, leading hardware/software upgrades, maintaining documentation, and researching new technologies to optimize the HPC environment.