Senior AI Research Scientist (Model-based RL)
New
P
PhaidraIndustrial Automation
Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India.Full-TimeSenior
SalaryTier 1: £120,276 - £165,379; Tier 2: £108,248 - £148,841; Tier 3: £97,423 - £133,957; Tier 4: £87,681 - £120,561
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Job Details
- Experience
- 2+ years of research experience in academia or industry after PhD graduation.
- Required Skills
- PythonGCPKubernetesPyTorchDeep Learning
Requirements
- PhD in a technical field or equivalent practical experience.
- 2+ years of research experience in academia or industry after PhD graduation.
- Strong background in model-based reinforcement learning.
- Demonstrated knowledge in planning algorithms, world models, deep learning, or control theory.
- Experience building and evaluating agents against simulators and closing the sim-to-real gap.
- Knowledge of safe or constrained reinforcement learning.
- Preferred: Strong Python and PyTorch skills.
- Preferred: Experience with distributed compute such as Ray, Kubernetes, and GCP.
- Preferred: Track record of publications in RL, control, or related areas.
Responsibilities
- Design, implement, and evaluate model-based reinforcement learning agents, including planning-based controllers like MPC and MPPI.
- Develop learned dynamics and world models including pretraining, curriculum learning, and adversarial learning pipelines.
- Research and implement methods for safe RL, constrained control, scenario planning, and Bayesian RL.
- Present research findings and developments internally and externally through verbal and written communication.
- Organize collaborative research projects and work with external partners to translate research into production outcomes.
- Mentor and guide Research Engineers in applying research findings to industrial domains.
- Independently define new research directions and own the development and rollout for research areas.
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