Senior AI Scientist, Molecular Design - USA Remote
Danaher Corporation- Full Time
- Senior (5 to 8 years)
Candidates should possess a PhD or equivalent research experience in a relevant field such as machine learning, reinforcement learning, optimization, or causal inference, with a strong background in algorithms and statistical modeling. Prior experience in applying AI to industrial applications is preferred, and the role requires expertise in machine learning, reinforcement learning, optimization, and causal inference. Applicants must be located within the UK (preferred), USA, or Canada.
The AI Research Scientist will collaborate with other researchers to demonstrate algorithmic feasibility and enhance algorithmic capabilities, design and implement prediction and decision algorithms for controlling complex systems, develop and maintain a benchmarking platform for algorithmic performance evaluation, report and present research findings both internally and externally, and participate in ambitious collaborative research projects.
AI virtual plant operators for industrial efficiency
Phaidra deploys artificial intelligence virtual plant operators to support operations teams in critical facilities. Their AI-powered control systems are designed to enhance stability, energy efficiency, and sustainability by learning and adapting over time. Unlike traditional static control systems that cannot adjust dynamically, Phaidra's technology continuously improves performance, addressing issues of degradation and lack of resiliency in industrial settings. The company has achieved notable success, such as delivering 40% energy savings at Google's data centers, and is expanding its solutions to various sectors, including pharmaceutical production and data centers. Phaidra's goal is to enhance operational efficiency and sustainability for its clients, generating revenue through the implementation and maintenance of its AI-driven systems.