Job Description
<h3>📋 Description</h3> • Phaidra is building the future of industrial automation.
• Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time.
• We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.
• We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.
• We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.
• Phaidra’s ability to achieve its mission is determined by our ability to work together — as defined by our core values: Transparency, Collaboration, Operational Excellence, Ownership, and Empathy. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture. <h3>🎯 Requirements</h3> • 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.
• Alignment with our company values: curiosity, ownership, transparency & directness, outcome-based performance, and customer empathy.
• Relevant experience to the position.
• A proven track record of publications.
• Experience applying AI to real-world scenarios. <h3>🏖️ Benefits</h3> • Fast-paced and team-oriented environment where you will be instrumental in the direction of the company.
• Phaidra is a 100% remote company with a digital nomad policy.
• Competitive compensation & 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 minimum of 20 days off per year requirement.
• Paid parental leave (exact benefits vary by region).
• Home office setup allowance, coworking space stipend, and company MacBook.