AI Research Scientist (Sequential Decision Making)

Position Overview

• Location Type: Remote
• Job Type: Full-time
• Salary: Not specified

Phaidra is building the future of industrial automation by creating AI-powered control systems for the industrial sector. These systems enable industrial facilities to automatically learn and improve over time using reinforcement learning algorithms. Phaidra's systems convert raw sensor data into high-value actions and decisions, focusing on well-sensorized industrial applications. Domain experts can configure these AI control systems without coding.

About Phaidra

Phaidra is a 100% remote company with employees located internationally. The team is united by core values: Transparency, Collaboration, Operational Excellence, Ownership, and Empathy. The company has a strong track record in applying AI to challenging problems, including achieving superhuman performance with DeepMind's AlphaGo and reducing the energy consumption of Google's Data Centers.

Who You Are

Research Scientists at Phaidra lead the development of novel algorithmic architectures for intelligent control systems in the industrial sector. Ideal candidates have a background from leading academic or industrial labs (PhDs, post-docs, professors) and expertise in machine learning, reinforcement learning, optimization, and causal inference.

Preferred Location: UK Other Accepted Locations:

• USA: California, Colorado, Connecticut, Georgia, Florida, Indiana, Maryland, Minnesota, Missouri, Nebraska, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, Washington.
• Canada: Ontario, British Columbia, and Alberta.

Responsibilities

• Collaborate with AI researchers on applied real-world problems to demonstrate algorithmic feasibility and enhance capabilities.
• Design and implement prediction and decision algorithms for complex non-linear dynamic systems.
• Develop and maintain a benchmarking platform for algorithmic performance evaluation and experimental design.
• Clearly and efficiently report and present research findings and developments, both internally and externally.
• Participate in and organize collaborative research projects.
• Work with external collaborators and maintain relationships with relevant research labs and key individuals.