Responsibilities
- Design and implement model-based reinforcement learning agents, including planning controllers like MPC and MPPI, with software prototypes for real industrial systems.
- Create learned dynamics and world models that generalize across domains, supported by robust training pipelines such as pretraining, curriculum learning, active or adversarial learning, and fine-tuning.
- Build reliable learned surrogates that enable accurate planning and control in diverse environments.
- Investigate and apply techniques in safe reinforcement learning, constrained control, scenario planning, and Bayesian methods to ensure safe deployment.
- Communicate research progress and outcomes clearly and effectively, both in writing and verbally, to internal and external stakeholders.
- Lead and contribute to collaborative research initiatives, partnering with external teams to transition research into production.
- Guide and mentor Research Engineers in applying advanced methods to industrial applications.
- Define and initiate new research directions independently.
- Drive the translation of theoretical research into practical, deployable solutions.
- Lead end-to-end development and deployment of major research projects or entire research domains.
Compensation
Competitive salary and equity package
Work Arrangement
Hybrid or on-site work model
Team
Collaborative research team with industry and academic partners
Responsibilities
- Design, implement, and evaluate model-based reinforcement learning agents — including planning-based controllers (MPC, MPPI) — and the software prototypes needed to deploy them on real industrial control systems.
- Develop learned dynamics and world models (learned surrogates) that generalize across systems, including the training pipelines — pretraining, curriculum learning, active/adversarial learning, and fine-tuning — needed to make them reliable for planning and control.
- Research and implement methods for e.g. safe RL, constrained control, scenario planning and Bayesian RL, to develop agents that satisfy safety constraints during deployment.
- Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.
- Participate in and organize ambitious collaborative research projects, and work with external collaborators and partners to translate research into production outcomes.
- Mentor and guide Research Engineers to apply research findings and developments to industrial domains.
- Independently defines new research directions
- Translates research into practical outcomes
- Owns the development and rollout for an entire research area or large project
Available for qualified candidates
