Who you are

• 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

What the job involves

• 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
• In your first 30 days..
• You will be immersed in an onboarding program that introduces you to Phaidra and our product
• You will spend time with the research team and get introduced to the different research tracks we pursue
• 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 codebase
• By your first 60 days..
• 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 in your role
• You will have a good understanding of our research tracks, allowing you to form a plan for your first project or maybe even start one
• By your first 90 days..
• You will be fully integrated into the team and have strong relationships with team members across the company
• You will have started to contribute to knowledge sharing throughout Phaidra
• Your project will be in full swing, and you might have some early results already

The application 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)
• Initial Meeting with Hiring Manager (30 minutes)
• Meeting with Research team member (60 minutes)
• Deep Dive with Hiring Manager (60 minutes)
• Culture fit interview with Phaidra’s co-founders (30 minutes)

Benefits

• 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 with an early exercise option
• 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 stipend and company MacBook
• Monthly internet reimbursement