Lead MLOps engineering to optimize ML infrastructure, manage teams, ensure service reliability, and enhance operational processes for AI model deployment.

The Rust Systems Engineer will optimize AI inference systems, focusing on performance, concurrency, and interacting with distributed systems.

The role involves leading procurement for GPUs and data center resources, negotiating supplier contracts and managing procurement processes while collaborating with multiple teams.

This role involves creating and executing PR strategies, managing media relations, building thought leadership, and preparing leaders for public engagements. The manager will execute crisis communications and align product communications with marketing strategy.

Lead brand and content marketing, create brand narratives, execute campaigns, manage social channels and budgets, and drive growth for Together AI.

Lead partner marketing strategy at Together AI, focusing on building the start-up ecosystem and driving strong adoption with key partners.

The Customer Support Engineer will resolve technical challenges for customers involving AI solutions, collaborating with internal teams to improve offerings and ensure customer satisfaction.

The Senior Research Engineer will develop evaluation frameworks and pipelines for LLMs, focusing on model behavior and reliability, and work with various teams to improve model performance.

The Senior GL Accountant will manage general ledger functions, oversee accounts payable, support audits, and improve accounting processes. They will collaborate across departments and provide guidance on accounting implications for business initiatives.

As an AI Researcher, you will develop novel architectures and optimizations in machine learning, collaborating with teams to enhance open models and ensuring cutting-edge research practices.

Develop and optimize distributed training frameworks for large language models, ensuring scalability and performance across training pipelines.

The role focuses on optimizing data pipelines and checkpoint mechanisms for large-scale ML workloads, improving performance and reliability.

Design and build production systems for AI inference, optimize runtime services, and collaborate on AI solutions with researchers and engineers.

The Large-scale Training Resilience Engineer will develop and optimize resilient systems for distributed AI training, ensuring reliability and performance while collaborating with teams to enhance fault tolerance and monitoring.

The Lead Cloud Infrastructure Engineer will design, build, and manage AWS infrastructure for data engineering, ensuring reliability and security.

Design and build scalable, fault-tolerant machine learning systems while collaborating with researchers and ensuring system health through monitoring.

Develop systems and APIs for LLM inference and fine-tuning. Design production systems, collaborate with teams, and improve system efficiency.

The Senior Data Engineer will build and operate data infrastructure for high-volume event processing, enhance scalability, and collaborate with product teams on analytics systems.

The role involves developing and optimizing GPU-accelerated kernels for ML/AI applications, collaborating with teams to enhance AI systems' performance.

This role involves designing scheduling algorithms and optimization techniques for large-scale AI workloads, ensuring efficient resource allocation and performance optimization.