Search the 17 jobs at Together AI

Together AI is seeking software engineers to build and maintain the codebase for the Together Cloud, with a focus on ML and Infrastructure. Responsibilities include writing high-performance, well-tested code, collaborating with the product team, and maintaining existing code. Ideal candidates have experience with Go, Java, Rust, C/C++, and a deep interest in AI and Infrastructure.

Drive global mid-market and enterprise demand for Together.ai's GPU cluster and API businesses, spearhead Account-Based Marketing strategies, boost pipeline, accelerate customer acquisition, and unlock expansion opportunities. Responsible for pipeline ownership, strategy, creative inbound demand generation, scaled outbound campaigns, marketing ops, and analytics.

As the VP of Customer Success at Together AI, you will develop a comprehensive strategy for the Customer Success organization, lead a technical team to deliver exceptional customer experiences, focus on retention and growth, use data-driven insights to scale strategies, spearhead cross-functional initiatives, and collaborate with Sales.

Monitor and manage GPU hardware inventory across decentralized data centers, track lifecycle of GPUs, develop system for tracking outages, work with engineering and operations to resolve issues, maintain supplier relationships, prepare billing summaries.

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.

Together AI is seeking a Senior Backend/Distributed Systems Engineer to build and maintain the codebase for the Together Cloud services. Responsibilities include designing core software components, conducting architecture research, and improving system efficiency. Requires 5+ years of experience in high-performance code development and expertise in Go, Python, Rust, or C. Bachelor's or Master's degree in relevant field.

Drive AI innovation by securing strategic deals with startups, generate pipeline & win new business, work cross-functionally with product & engineering teams, contribute to product roadmaps, collaborate with SDR team, and exceed revenue quotas.

As an AI Solutions Architect at Together AI, you will drive the adoption of generative AI by working with customers to build and deploy AI models at scale. Responsibilities include leading PoCs, providing technical guidance, and shaping innovative solutions. Requires 5+ years of experience in ML or AI development and applications.

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.

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.

As a Site Reliability Engineer (SRE) at Together, responsible for keeping all user-facing services and production systems running smoothly. Specialize in systems, best practices for availability, reliability, and scalability, with interests in algorithms and distributed systems.

Develop and manage large-scale distributed systems within the AI/ML infrastructure domain. Design and optimize AI/ML solutions, develop automation tools, and collaborate with cross-functional teams. Research and deploy machine learning systems for distributed training and inference. Required: Bachelor's degree in Computer Science, 5-8+ years of software engineering experience, proficiency in Python, Go, C++, cloud platforms, and machine learning frameworks. Preferred: In-depth AI/ML workflow understanding, containerization technologies experience, problem-solving skills, continuous learning mindset.

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.