AI Research Scientist
Remote
Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants.
Role Highlights
Python
Control Systems
Research
Robotics
Operations
Data Protection
GDPR
Automation
Static
Infrastructure
Database
Security
Startup
Cloud
Server
Tools, Libraries and Frameworks
Docker
GitLab
Slack
PyTorch
Scipy
Description
Phaidra develops AI-powered control systems for the industrial sector, utilizing reinforcement learning algorithms to convert sensor data into high-value actions and decisions.
The role of AI Research Scientist involves designing, implementing, and evaluating models and software prototypes, and requires expertise in reinforcement learning, deep learning, control theory, and multi-agent reinforcement learning.
Required skills include Python, PyTorch, scipy, Kubernetes, Docker, and Ray, with additional experience in GCP being useful.
Candidates should have a PhD in a relevant field or equivalent practical experience, as well as extensive research in reinforcement learning and control theory.
Phaidra deploys artificial intelligence virtual plant operators to assist operations teams in mission critical facilities deliver step function improvements in stability, energy efficiency and sustainability.
We create self-learning, intelligent control systems for industrial facilities.Our co-founders and leadership team represent the combination of deep artificial intelligence and machine learning expertise from companies like Google-Deepmind, with the applied knowledge of mission critical cooling and heating systems from organizations like Trane and Johnson Controls.
The industrial sector today is filled with static infrastructure. Pharmaceutical production, data centers, district energy and other industrial facilities are frozen in time they operate in the same way they've operated for years because their control systems are hard-coded, and hard-coded systems cannot change dynamically, leading to performance degradation and a lack of resiliency.
Our AI-powered control systems automatically learn, adapt, and get better over time. Our team has already delivered 40% energy savings at Google's data centers, and we're rapidly bringing AI technology to other types of industrial facilities.
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London, England, United Kingdom, Norway : Italy : Spain : Portugal : Ireland
J-18808-Ljbffr
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