Models Engineer, AI Platform

Das ist der Job

Role Responsibilities Model Partnerships & Integration: Identify and evaluate promising new models.

Darum lohnt es sich

About the team As a Models Engineer at the company, you will be the technical heartbeat of our AI community, bridging the gap between cutting‑edge models and the developers building on our platform.

You'll work directly with model creators and research teams to bring new models to the company, while simultaneously educating and inspiring our global developer base. Work directly with external model teams—research labs, open‑source maintainers, and partner organizations—to bring their work to the company.

Internal Product Advocacy: Synthesize feedback from developers and model partners into actionable insights for Product and Engineering teams. Partnership Experience: Track record of working with external teams—whether open‑source maintainers, research groups, or partner engineering teams.

Common Daily Activities Call with a model team to discuss integration requirements for an upcoming release. Available Locations: Austin, TX About the Department Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within the company.

Rather than being constrained by the structures which make the company a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers.

The company’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization. We're looking for someone who can navigate a technical partnership call in the morning and debug a developer's issue on Discord in the afternoon.

Serve as the technical point of contact through integration and launch. Technical Content & Education: Author tutorials, technical blog posts, and documentation that help developers understand and adopt our AI offerings. Make complex concepts accessible. Community Engagement & Support: Actively participate in developer communities like Discord.

Provide technical support, gather feedback, and build relationships with developers and contributors. Engineering & Prototyping: Build demos, sample applications, and reference implementations that showcase what's possible with the company's AI infrastructure. Influence roadmap, API design, and feature prioritization.

Event Representation: Present at conferences, meetups, and online events through technical talks, workshops, and live demonstrations. Role Requirements Must-Have Technical Depth: Strong experience with Python and ML frameworks (PyTorch, Hugging Face Transformers and Diffusers, Cog). Solid understanding of how models work and how to work with them.

Content Creation: Portfolio of technical writing—blog posts, documentation, tutorials—that demonstrates clear explanation of complex topics. Public Speaking: Experience presenting technical content at conferences, meetups, or through video content. Community Presence: Active participation in developer communities.

You’re visible, helpful, and engaged. Prototyping Ability: Can build end‑to‑end applications that integrate models and serve as examples for developers. Nice-to-Have Familiarity with the company Workers or serverless/edge architectures. Full‑stack experience (JavaScript/TypeScript) for building complete applications.

Experience with model fine‑tuning or vector databases. Background in ML research or contributions to model development. Experience with image, video, or audio models. Troubleshooting a developer’s issue in Discord or triaging GitHub issues. Writing a blog post on performance characteristics of a newly launched model.

Collaborating with Engineering on how an API change will affect the developer experience. Building a demo application for an upcoming launch. Reviewing community feedback and distilling it into product recommendations. Application Materials Resume/CV Portfolio: GitHub, blog, or links to talks and technical writing #J-18808-Ljbffr