Remote Research Scientist World Model Post Training Jobs

We believe that world models are at the frontier of progress in artificial intelligence.

Turn successful research into robust, reproducible training recipes for production models.

edge hardware and training models on distributed infrastructure Experience collaborating with engineering teams to move research from prototype

edge hardware and training models on distributed infrastructure Experience collaborating with engineering teams to move research from prototype

We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts.

Generative modeling for video, audio, or images. Post-training, fine-tuning, and RL on large foundation models.

…build the most realistic voice models in the world.

As an Applied AI Scientist, Simulation & Reinforcement Learning, you'll own the simulator behind SDL, our programme building a world-first, reinforcement-learning-driven

…that power benchmarking, evaluation, and post-training for the world's leading AI models and applications

or adapting general-purpose in-context models to molecular or scientific data Large model training, including 1B+ parameter models, distributed training

Familiarity with distributed training, large-scale data processing, and model optimization techniques.

Familiarity with distributed training, large-scale data processing, and model optimization techniques.

…through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.

Pushing existing models further through post-training, data curation, architectural improvements, and novel training paradigms.

…Hands-on work with reinforcement learning, model post-training, or agent evaluation; experience with PyTorch or a similar framework.