# Member of Technical Staff — ML Research, Planning 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/dae77f7e-d006-40a2-a9b4-a52663ce408d
- Page: https://www.1752.vc/careers/jobs/causal-member-of-technical-staff-ml-research-planning/

## About the role

Research and implement methods that turn a predictive physics model into one that reasons toward objectives — planning, control, and decision-making against a learned model of the world Develop approaches for decision-making under uncertainty in high-dimensional, continuous physical state spaces

## 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 area (e.g. reinforcement learning, planning and control, decision-making under uncertainty, model-based RL, post-training of large models)
- Experience training models and the ability to understand experimental results through careful analysis and ablation studies
- Familiarity with the challenges of reasoning, planning, or acting with learned models
- A track record of turning open-ended research problems into working systems

Tags: Research