Remote AI Research Scientist (Sequential Decision Making) at Phaidra

Description:

Phaidra is building AI-powered control systems for the industrial sector to enable facilities to learn and improve over time.
The company uses reinforcement learning algorithms to convert raw sensor data into high-value actions and decisions.
Research Scientists at Phaidra will lead efforts in developing novel algorithmic architectures for intelligent control systems.
Responsibilities include collaborating with AI researchers, designing prediction and decision algorithms, maintaining a benchmarking platform, reporting research findings, organizing collaborative projects, and mentoring Research Engineers.
The position is remote, with applicants accepted from specific regions including the USA, Canada, UK, Norway, Spain, Italy, and Portugal.

A PhD in a technical field or equivalent practical experience is required, with expertise in planning, reinforcement learning, or optimization.
Candidates must have at least 1 year of applied research experience.
A strong background in software engineering is necessary, with proficiency in Python and open-source ML libraries such as Keras, TensorFlow, and PyTorch.
Prior experience with research projects and contributions to open-source software is essential.
Alignment with company values such as curiosity, ownership, and customer empathy is required.

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