[Hiring] Senior AI Research Scientist @Phaidra

Role Description

Research Scientists at Phaidra lead our efforts in developing novel algorithmic architecture towards the end goal of bringing intelligent control systems to the industrial sector. They work collaboratively within and across research fields, drawing on expertise from various disciplines including:

• Model-based reinforcement learning
• Planning and optimal control
• Deep learning
• World models
• Safe reinforcement learning

Responsibilities include:

• Design, implement, and evaluate model-based reinforcement learning agents, including planning-based controllers (MPC, MPPI).
• Develop learned dynamics and world models that generalize across systems.
• Research and implement methods for safe RL, constrained control, scenario planning, and Bayesian RL.
• Report and present research findings clearly and efficiently.
• Participate in and organize ambitious collaborative research projects.
• Mentor and guide Research Engineers.
• Independently define new research directions.
• Translate research into practical outcomes.
• Own the development and rollout for an entire research area or large project.

Qualifications

• PhD in a technical field or equivalent practical experience.
• Strong background in model-based reinforcement learning.
• Demonstrated knowledge in one or more of the following:
  • Planning algorithms
  • World models / learned dynamics surrogates
  • Reinforcement Learning and Deep Learning
  • Control Theory
  • Safe / constrained RL
• Either:
  • 2+ years of research experience in academia or industry after PhD graduation.
  • 5+ years of research experience in academia or industry after Master’s graduation.
• Extensive research in the fields of {ModelBased, ModelFree, Safe} RL and Control Theory.
• Hands-on experience building and evaluating agents against simulators.
• Alignment with Phaidra's values: Agency, Velocity, Craft, & Truth.

Requirements

• PhD in machine learning, control, or a closely related field.
• Deep, hands-on experience with model-based RL and planning agents applied to real-world dynamical or industrial systems.
• Strong Python and PyTorch skills.
• A proven track record of publications in RL, control, or a related area.
• A real passion for AI and applying it to industrial systems to improve resource efficiency.

Benefits

• Fast-paced, team-oriented environment where your work directly shapes the company’s direction.
• 100% remote company.
• Competitive compensation & meaningful equity.
• Outsized responsibilities & professional development.
• Training is foundational; functional, customer immersion, and development training.
• Medical, dental, and vision insurance (exact benefits vary by region).
• Unlimited paid time off, with a required minimum of 20 days per year.
• Paid parental leave (exact benefits vary by region).
• Flexible stipends to support your workspace, well-being, and continued professional development.
• Company MacBook.