# Staff Machine Learning Engineer - World Models City at Atoms

- Company: Atoms
- What the company does: Backed by Initial Capital.
- Company website: https://atoms.com
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco, CA
- Work setup: On-site
- Pay: $273K to $321K base salary per year (USD)
- Posted: 2026-09-24
- Apply by: 2026-11-08
- Apply: https://job-boards.greenhouse.io/atoms/jobs/8842779002
- Page: https://www.1752.vc/careers/jobs/atoms-staff-machine-learning-engineer-world-models-city/

## About the role

As a Senior Staff Machine Learning Engineer focused on World Models, you will be one of the foundational technical leaders of Atoms' AI organization. You will help develop models that learn rich representations of the physical world from large scale multimodal data enabling machines to understand environments, model how those environments evolve, and provide the learned representations needed for downstream reasoning and action. This is an opportunity to help define a new generation of physical AI systems.

## What they're looking for

- Deep expertise in machine learning with experience developing large-scale deep learning or foundation model systems
- Strong understanding of modern model architectures and representation learning
- Experience with one or more areas such as multimodal learning, video models, generative models, self-supervised learning, predictive models, spatial intelligence, or embodied AI
- Experience training models on large-scale datasets and understanding the relationship between data, architecture, compute, and model performance
- Strong understanding of the full ML lifecycle, including data strategy, model architecture, training, evaluation, optimization, and inference
- Experience translating research ideas into functioning machine learning systems

Tags: Transport - Engineering