AI Research Scientist (Control Theory)

Posted 22 Days Ago
Hiring Remotely in USA
Remote
144K-185K Annually
Mid level
Artificial Intelligence
The Role
As an AI Research Scientist at Phaidra, you will lead the design and implementation of novel algorithmic architecture for intelligent control systems in the industrial sector. This role involves applying expertise in reinforcement learning and deep learning, and collaborating across research fields to achieve groundbreaking results that enable industrial facilities to autonomously improve their operations.
Summary Generated by Built In
About Phaidra

Phaidra is building the future of industrial automation.

The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.

Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:

  • We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.
  • We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.
  • We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.

Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact.

Phaidra’s ability to achieve its mission is determined by our ability to work together — as defined by our core values: TransparencyCollaborationOperational Excellence, Ownership, and Empathy. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture

Phaidra is based in the USA but 100% remote; we do not have a physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Norway, Italy, Sweden, Spain, Portugal, Japan, Singapore, and India.

Who You Are

Research Scientists at Phaidra lead our efforts in developing novel algorithmic architecture towards the end goal of bringing intelligent control systems to industrial sector.

Having pioneered research in the world's leading academic and industrial labs as PhDs, post-docs or professors, Research Scientists join Phaidra to work collaboratively within and across research fields.

Drawing on expertise from a variety of disciplines including reinforcement learning, deep learning, robotics and multi-agent reinforcement learning, our Research Scientists are at the forefront of groundbreaking research and applying them to real-world.

**We are seeking a team member located in one of the following areas: the UK, Norway, Italy, Spain, Portugal, Ireland, the US, or Canada.

In the United States, we accept applicants located in the following states: California, Colorado, Connecticut, Georgia, Indiana, Maryland, Minnesota, Missouri, Nebraska, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, Washington. 

In Canada, we accept applicants located in the following provinces: Ontario, British Columbia, and Alberta.

Responsibilities

  • Design, implement and evaluate models, agents and software prototypes of perceptual processing.
  • Report and present research findings and developments including status and results clearly and efficiently 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 as appropriate.
  • Mentor and guide Research Engineers to apply research findings and developments to industrial domains.

Key Qualifications

  • Required: PhD in a technical field or equivalent practical experience, with demonstrated knowledge in one of the following:
    • Reinforcement Learning
    • Deep Learning
    • Control Theory
    • Multi-Agent RL
  • Extensive research in the fields of (Model-Based, Model-Free, Safe) RL, Control Theory.
  • Share our company values: curiosity, ownership, transparency & directness, outcome-based performance, and customer empathy.

Preferred Skills & Experience

  • A proven track record of publications.
  • A real passion for AI and applying to industrial systems to improve resource efficiency.

Our Stack

  • Python
  • PyTorch, scipy
  • Kubernetes, Docker, Ray
  • GCP

Onboarding

In your first 30 days...

  • You will be immersed in an onboarding program that introduces you to Phaidra and our product.
  • You will spend time in the research team and get introduced to the different tracks of research that we perform.
  • You will learn how other teams operate, interact, and approach problems.
  • You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.
  • You will set up your development environment and get introduced to various parts of our code base.

By your first 60 days...

  • You will have a solid understanding of what Phaidra does and how we do it.
  • You will have met with team members across Phaidra and started building relationships that will help you be successful at your job.
  • You will have a good understanding of our research tracks, which allowed you to form a plan for your first project, or maybe, you have already started one.

By your first 90 days...

  • You will have been fully integrated in the team and with team members across the company.
  • You will have started to contribute to knowledge sharing throughout Phaidra.
  • Your project is in full swing and you might have some early results already.

General Interview Process

All of our interviews are held via Google Meet, and an active camera connection is required.

  1. Initial screening interview with a People Operations team member (30 minutes)
  2. Meeting with Hiring Manager (60 minutes)
  3. Meeting with Research team member (60 minutes)
  4. Meeting with Research team member (60 minutes)
  5. Culture fit interview with Phaidra’s co-founders (30 minutes)

Base Salary

  • US Residents: $153,652-$185,000/year
  • Canada Residents: CA$156,725-CA$191,277/year
  • UK Residents: £99,500-£119,240/year

Salary ranges for other countries (Italy, Spain, Portugal, Norway, Ireland) will vary based on the market rate for the location.

This position will also include equity.

These are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation.

Benefits & Perks
  • Fast-paced and team-oriented environment where you will be instrumental in the direction of the company.
  • Phaidra is a 100% remote company with a digital nomad policy.
  • Competitive compensation & equity.
  • Outsized responsibilities & professional development.
  • Training is foundational; functional, customer immersion, and development training.
  • Medical, dental, and vision insurance (exact benefits vary by region).
  • Unlimited paid time off, with a minimum of 20 days off per year requirement.
  • Paid parental leave (exact benefits vary by region).
  • Home office setup allowance, coworking space stipend, and company MacBook.

*Please note that Phaidra’s benefits and perks listed above do not apply to temporary employees such as interns.

On being Remote

We are thoughtful about remote collaboration. We look to the pioneers - like Gitlab - for inspiration and best practices to create a stellar remote work environment. We have a documentation-first culture and actively practice asynchronous communication in everything we do. Our team stays connected through tools like Slack and video chat. Most teams meet daily, and we have dedicated all-hands meetings weekly to build strong relationships. We hold virtual team building events once per quarter - and even hold virtual socials to watch rocket launches! We have had all-company summits in locations like Seattle, Athens, Goa, and Barcelona.

Equal Opportunity Employment

Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at [email protected].

E-Verify Notice

Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States.

Additional information about E-Verify can be found here.

#LI-Remote

WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

Top Skills

AI
Control Theory
Deep Learning
Multi-Agent Reinforcement Learning
Reinforcement Learning
Robotics
The Company
HQ: Seattle, WA
43 Employees
On-site Workplace
Year Founded: 2019

What We Do

Phaidra is an industrial AI company. We create self-learning, intelligent control systems for industrial facilities.

The physical world today is filled with static infrastructure. Factories, power plants, and other industrial facilities are frozen in time — they operate in the same way they've operated for decades because their control systems are hard-coded. And hard-coded systems cannot change, leading to performance degradation and a lack of resiliency.

Phaidra creates AI-powered control systems that automatically learn, adapt, and get better over time. Just as autonomous vehicles get smarter over time, so too will future industrial facilities. 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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