Teams at ifm

Research and engineer agentic language models: develop algorithms, datasets, evaluations, and scalable RL and distributed training/serving infrastructure; publish papers and contribute open-source software.

Build and sustain IFM’s Silicon Valley developer community through events, hackathons, online engagement, ecosystem partnerships, and member-led activities. Manage relationships with developers, founders, researchers, students, universities, accelerators, and open-source groups. Coordinate with Developer Relations, research, and Marketing teams, track engagement metrics, gather community feedback, and connect builders with technical support. A technical background in AI, computer science, engineering, or software development is preferred.

Drives developer adoption of IFM’s LLMs by supporting evaluation, integration, and sustained use. Creates technical documentation, examples, demonstrations, talks, and workshops; collaborates with open-source maintainers and ecosystem partners; investigates adoption barriers; reproduces issues; and translates user evidence into model and developer-experience improvements. Requires hands-on LLM application development, strong Python skills, technical communication, and experience influencing engineering or research priorities.