Teams at ifm

Own and maintain a high-performance website while creating visual assets, diagrams, infographics, presentation materials, and short-form videos. Monitor website performance, security, accessibility, SEO, and analytics. Collaborate with marketing, editorial, social media, and external design partners to maintain a consistent visual identity and translate complex AI research into clear, engaging content across platforms.

Build and improve high-quality LLM training datasets across pre-training, mid-training, and post-training. Responsibilities include data extraction, cleaning, filtering, deduplication, transformation, quality control, synthetic data generation, data evaluation, model experiments, and research into datasets and processing methods. Collaborate with researchers and engineers on foundation model projects while supporting inference, evaluation, and training experiments.

Design, develop, and operate state-of-the-art systems for curating, ingesting, filtering, annotating, and training on billion-scale visual data. Research areas include motion scoring, camera control, and video understanding. The role converts human data-curation efforts into durable, automated systems with quantitatively verifiable performance, contributing to foundation model and world model development.