Full-Time

AI Research Scientist

Sequential Decision Making

Posted on 8/29/2024

Phaidra

Phaidra

51-200 employees

AI virtual plant operators for industrial efficiency

Industrial & Manufacturing
Energy
AI & Machine Learning

Compensation Overview

$170.8k - $185kAnnually

+ Equity

Mid, Senior

Remote in USA + 2 more

More locations: Remote in UK | Remote in Canada

Candidates can be located in various states in the USA and provinces in Canada, as well as other countries listed.

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Python
Tensorflow
Data Structures & Algorithms
Keras
Pytorch
Pandas
NumPy
Requirements
  • 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.
Responsibilities
  • 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.

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.

Company Stage

Seed

Total Funding

$41.3M

Headquarters

Seattle, Washington

Founded

2019

Growth & Insights
Headcount

6 month growth

5%

1 year growth

2%

2 year growth

4%
Simplify Jobs

Simplify's Take

What believers are saying

  • Phaidra achieved 40% energy savings at Google's data centers, showcasing its effectiveness.
  • The rise of edge computing complements Phaidra's solutions for real-time analytics and efficiency.
  • Growing interest in AI-driven predictive maintenance aligns with Phaidra's focus on stability.

What critics are saying

  • Increased competition from AI-driven industrial solutions providers could impact Phaidra's market share.
  • Rapid AI advancements may require Phaidra to continuously innovate, straining resources.
  • Potential data privacy concerns and regulatory scrutiny could challenge Phaidra's operations.

What makes Phaidra unique

  • Phaidra offers AI solutions for mission-critical facilities, enhancing stability and efficiency.
  • The company combines AI expertise from Google-Deepmind with industry knowledge from Trane and Johnson Controls.
  • Phaidra's AI systems adapt and improve over time, unlike static, hard-coded control systems.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Parental Leave

Home Office Stipend

Company Equity

INACTIVE