Remote AI Research Scientist (Control Theory)

Description:

• Phaidra is focused on building AI-powered control systems for the industrial sector, enabling facilities to learn and improve over time.
• The company utilizes reinforcement learning algorithms to convert raw sensor data into actionable decisions.
• Phaidra's team has a history of applying AI to significant challenges, achieving notable successes in various projects.
• Research Scientists at Phaidra will lead efforts in developing novel algorithmic architectures for intelligent control systems.
• Responsibilities include designing, implementing, and evaluating models and software prototypes, reporting research findings, organizing collaborative projects, and mentoring Research Engineers.
• The position is remote, with applicants accepted from specific regions including the UK, Norway, Italy, Spain, Portugal, Ireland, the US, and Canada.

Requirements:

• A PhD in a technical field or equivalent practical experience is required, with knowledge in reinforcement learning, deep learning, control theory, or multi-agent reinforcement learning.
• Extensive research experience in reinforcement learning and control theory is necessary.
• Candidates must share the company's values of curiosity, ownership, transparency, outcome-based performance, and customer empathy.
• Preferred qualifications include a proven track record of publications and a passion for applying AI to improve industrial systems.

Benefits:

• Phaidra offers a fast-paced, team-oriented environment where employees can significantly influence the company's direction.
• The company provides competitive compensation and equity, along with outsized responsibilities and opportunities for professional development.
• Employees receive medical, dental, and vision insurance, unlimited paid time off with a minimum requirement of 20 days off per year, and paid parental leave.
• Additional perks include a home office setup allowance, coworking space stipend, and a company MacBook.
• Phaidra promotes a thoughtful remote work culture with a documentation-first approach and regular virtual team-building events.