Phaidra - Senior AI Research Scientist (Model-based RL)
Requirements
• Research Scientists at Phaidra lead our efforts in developing novel algorithmic architecture towards the end goal of bringing intelligent control systems to industrial sector. • Having pioneered research in the world's leading academic and industrial labs as PhDs, post-docs or professors, Research Scientists join Phaidra to work collaboratively within and across research fields. • Drawing on expertise from a variety of disciplines including model-based reinforcement learning, planning and optimal control, deep learning, world models, and safe reinforcement learning, our Research Scientists are at the forefront of groundbreaking research and applying it to real-world industrial control systems. • strong background in model-based reinforcement learning • Planning algorithms • World models / learned dynamics surrogates • Reinforcement Learning and Deep Learning • Safe / constrained RL • 2+ years of research experience in academia or industry after PhD graduation. • Extensive research in the fields of {ModelBased, ModelFree, Safe}RL and Control Theory, with particular depth in model-based methods. • Hands-on experience building and evaluating agents against simulators (e.g. differentiable simulators or world models) and closing the sim-to-real gap. • 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, including vectorized/differentiable simulators and scaling experiments on distributed compute (e.g. Ray, Kubernetes, GCP). • 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. • Our Stack • Kubernetes, Docker, Ray • Onboarding
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 • You will be immersed in an onboarding program that introduces you to Phaidra and our product. • You will spend time in the research team and get introduced to the different tracks of research that we perform. • You will learn how other teams operate, interact, and approach problems. • You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra. • You will set up your development environment and get introduced to various parts of our code base. • You will have a solid understanding of what Phaidra does and how we do it. • You will have met with team members across Phaidra and started building relationships that will help you be successful at your job. • You will have a good understanding of our research tracks, which allowed you to form a plan for your first project, or maybe, you have already started one. • You will have been fully integrated in the team and with team members across the company. • You will have started to contribute to knowledge sharing throughout Phaidra. • Your project is in full swing and you might have some early results already. • General Interview Process • All of our interviews are held via Google Meet, and an active camera connection is required. • Meeting with People Operations team member (30 minutes) • Meeting with Hiring Manager (30 minutes) • Meeting with Research team member (60 minutes) • Meeting with Hiring Manager (60 minutes) • Culture fit interview with Phaidra’s co-founders (30 minutes)
Benefits
• Tier 1 (Largest highest-cost metros): £120,276 - £165,379 • Tier 2 (Other major metros): £108,248 - £148,841 • Tier 3 (Mid-sized metro areas): £97,423 - £133,957 • Tier 4 (All other locations): £87,681 - £120,561 • In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate’s qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends. • Fast-paced, team-oriented environment where your work directly shapes the company’s direction. • We are a 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. • Please note: Not all of Phaidra’s benefits and perks listed above apply to temporary employees such as interns. • Please note: • On being Remote • On being Remote • We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie. • Equal Opportunity Employment
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT