Phaidra is hiring an AI Research Scientist (Sequential Decision Making)

Phaidra is looking for an AI Research Scientist (Sequential Decision Making) to lead efforts in developing novel algorithmic architectures that bring intelligent control systems to the industrial sector. In this role, you will collaborate on applied real-world problems to demonstrate algorithmic feasibility and enhance capabilities.

What You'll Do

• 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.

What We're Looking For

• 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.

Nice to Have

• Relevant experience to the position.
• A proven track record of publications.
• Experience applying AI to real-world scenarios.

Technical Stack

• Python, PyTorch, scipy, Kubernetes, Docker, Ray, GCP

Team & Environment

Collaborate within and across research fields.

Benefits & Compensation

• Fast-paced and team-oriented environment where you will be instrumental in the direction of the company.
• 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.
• United States Residents: $171,169 - $200,000 USD; UK Residents: £108,834 - £127,168 GBP; Canada Residents: $179,063 - $209,225 CAD + equity.

Work Mode

This is a global role. Locations: 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.

Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.