AI Research Scientist (Machine Learning for Physical Systems) - Remote

Overview

Phaidra is building the future of industrial automation by creating AI-powered control systems that enable facilities to automatically learn and improve over time.

In Short

• Lead efforts in developing novel algorithmic architectures for intelligent control systems.
• Collaborate with AI researchers on real-world problems.
• Design and implement prediction and control algorithms for complex systems.
• Develop benchmarking platforms for algorithmic performance evaluation.
• Mentor Research Engineers in applying research findings.
• Work with external collaborators and maintain research relationships.
• Present research findings effectively to various stakeholders.
• Participate in ambitious collaborative research projects.
• Utilize a strong foundation in ML and software engineering.
• Align with company values: curiosity, ownership, transparency, and empathy.

Requirements

• PhD in a relevant technical field (mechanical engineering, control systems, etc.).
• Expertise in thermodynamics, fluid mechanics, and dynamic system modeling.
• Strong foundation in machine learning and software engineering.
• 1+ years of applied research experience.
• Prior experience with research projects and open-source contributions.
• Proficiency in Python and ML libraries (Keras, TensorFlow, etc.).
• Ability to work collaboratively in a remote environment.
• Strong communication skills for reporting and presenting research.
• Alignment with company values.

Benefits

• 100% remote work with a digital nomad policy.
• Competitive compensation and equity.
• Unlimited paid time off with a minimum requirement.
• Medical, dental, and vision insurance.
• Home office setup allowance and coworking space stipend.
• Professional development and training opportunities.
• Fast-paced and team-oriented environment.
• Paid parental leave.
• Strong emphasis on remote collaboration and communication.