# Member of Technical Staff — ML Research, Multimodal at Causal

- Company: Causal
- What the company does: Backed by Accel.
- Company website: https://www.causal.app/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: On-site
- Posted: 2026-07-20
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/causal/8af4b1fc-8d7f-464d-afea-47a738f889ef
- Page: https://www.1752.vc/careers/jobs/causal-member-of-technical-staff-ml-research-multimodal/

## About the role

Design and implement novel model architectures and training algorithms for learning from massive, multimodal physical data Solve core modeling problems unique to physical prediction: encoding heterogeneous and irregularly-sampled modalities, stable long-horizon rollouts, and probabilistic forecasting

## What they're looking for

- We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains
- Strong grasp of machine learning fundamentals, with depth in at least one relevant domain (e.g. sequence or world models, computer vision, sensor fusion, generative modeling, physics-informed NNs)
- Experience training large-scale models and the ability to understand experimental results through careful analysis and ablation studies
- Familiarity with distributed training and the systems considerations of scaling models
- A track record of turning open-ended research problems into production models

Tags: Research