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This role involves optimizing model serving layers for voice AI applications, working with inference engines, and improving performance for STT and TTS systems.

As a Senior Platform Engineer at Together AI, you will build and manage the API and infrastructure layer for a Voice AI platform, focusing on real-time streaming capabilities and developer experience, ensuring reliability for production voice applications.

The Staff Machine Learning Engineer will optimize the inference layer for voice applications, focusing on model serving and real-time audio processing. Responsibilities include driving performance architecture, collaborating with model partners, and developing evaluation frameworks for STT and TTS models.

The Staff Platform Engineer will architect the Voice AI platform, focusing on real-time API reliability, autoscaling, and enhanced developer experience while collaborating on voice infrastructure and ML serving.

The Junior Technical Program Manager will manage the end-to-end node lifecycle, datacenter operations, improve workflows, and resolve GPU utilization issues.

Work on distributed inference and compiler-aware optimizations for foundation models. Design and run experiments, implement cross-layer model-system-hardware optimizations (e.g., KV cache, speculative decoding), communicate results to the team, and document findings in publications and blog posts.

Research intern contributing to agentic AI: develop and implement novel training methods, design experiments and datasets, evaluate agent behavior and safety, document findings, and communicate results to the team.

Work on developing and optimizing GPU-accelerated kernels and algorithms for ML/AI. Collaborate with modeling, hardware, and software teams to co-design GPU kernels and architectures, integrate GPU solutions, and profile and optimize performance using GPU profiling tools.

As an AI Infrastructure Engineer, you will manage user-facing services, ensure system reliability, and improve infrastructure using automation tools such as Ansible and Terraform while collaborating with various stakeholders.

Lead the design of AI developer tools: own end-to-end product UX, evolve and maintain a production design system, conduct user research, prototype and ship features, and partner with engineering and product to ensure high implementation quality and cross-product consistency.