Phaidra is building the future of industrial automation by creating AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time, addressing the limitations of static, monolithic infrastructure with hard-coded control systems.
Requirements
- PhD in a technical field or equivalent practical experience, with demonstrated expertise in one of the following areas: Planning, Reinforcement Learning, Optimization
- 1+ years of applied research experience.
- Strong background in software engineering, with proficiency in Python and open-source ML libraries such as Keras, TensorFlow, PyTorch, scipy, scikit-learn, numpy, pandas, and ray.
- Prior experience with research projects and contributions to open-source software.
- Experience applying AI to real-world scenarios.
Responsibilities
- Collaborate with other AI researchers on applied real-world problems to demonstrate algorithmic feasibility and enhance algorithmic capabilities.
- Design and implement prediction and decision algorithms to control 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, verbally and in writing.
- Participate in and organize ambitious collaborative research projects.
- Work with external collaborators and maintain relationships with relevant research labs and key individuals.
- Mentor and guide Research Engineers to apply research findings and developments to industrial domains.
Other
- Alignment with our company values: curiosity, ownership, transparency & directness, outcome-based performance, and customer empathy.
- We are seeking a team member located within one of the following areas: UK (preferred), USA, or Canada.
- In the United States, we accept applicants located in the following states: California, Colorado, Connecticut, Georgia, Florida, Indiana, Maryland, Minnesota, Missouri, Nebraska, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, Washington.
- In Canada, we accept applicants located in the following provinces: Ontario, British Columbia, and Alberta.
- All of our interviews are held via Google Meet, and an active camera connection is required.
