Our client, an ambitious AI startup building general-purpose world models for simulation, is seeking a Research Engineer to focus on multimodal foundational models. This individual will work alongside a highly creative team to push the boundaries of interactive, real-time generation. The ideal candidate takes a full-stack approach to research and thrives in a fast-paced environment, taking models all the way from pretraining to production inference.
Role
Run experiments to teach models new interactive behaviors, such as scene manipulation, action following, and camera control.
Develop new data strategies, architectural variants, and training techniques while designing rigorous capability evaluations.
Take features from research prototypes to production by collaborating closely with product and creative teams.
Essential Skills
4+ years of experience in machine learning research or engineering.
Strong familiarity with the architecture, training, and inference of large-scale multimodal generative models.
Proficiency with major ML frameworks (e.g., PyTorch or JAX) and hands-on experience with distributed training at scale.
Beneficial Skills
Proven experience building robust data pipelines for both pretraining and post-training (SFT/RL).
A strong drive to build AI systems that simulate the real world to solve complex problems.
Competitive base salary + equity.
If interested, reply and Goliath Partners will be in touch!
