Primary record

Platform Engineer, Model Shaping

Together AI Indexed employerSan Francisco · San Francisco, California, United States
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Workplace

hybrid

Employment

Internship

Published

Aug 11, 2026

Closes

No date supplied

The role

About the Role

The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems.

As a Platform Engineer in Model Shaping, you will work at the intersection of backend engineering and infrastructure, building the foundational layers of Together’s platform for model customization and evaluation. You will design, develop, and operate both the backend services and the underlying systems that enable us to sustainably and reliably scale production workflows launched by our users, as well as internal research experiments.

You will operate in a cross-functional environment, collaborating with other engineers and researchers in the team to improve the infrastructure based on the needs of projects they work on. You will also interact with other engineering teams at Together (such as Commerce, Data Engineering, and Cloud Infrastructure) to integrate the services developed by Model Shaping with systems developed by those teams.

Responsibilities

• Design and build Together’s systems and infrastructure for model customization, including user-facing features and internal improvements

• Contribute to reliability improvements for the platform, participating in an on-call rotation and improving processes for incident response

• Create and improve internal tooling for deployment, continuous integration, and observability

• Build a job orchestration platform spanning multiple datacenters, supporting a highly heterogeneous hardware landscape

• Pa

Requirements

Department: Engineering