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: Transparency , Collaboration , Operational 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 we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR . Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India.

Responsibilities

Wear different hats across the research-to-production lifecycle: ML Engineer, ML-Ops Engineer, Software Engineer, and Performance Engineer.
Own and evolve our research infrastructure end-to-end, from experiment orchestration and distributed training to model tracking, evaluation, and automated deployment, so researchers can move from idea to validated result quickly.
Build and scale distributed compute for research workloads (e.g. Ray-based training and data pipelines on Kubernetes/GCP), including managing GPU capacity across zones/regions and keeping experiment infrastructure reliable and cost-efficient.
Improve the speed and quality of our R&D through performance engineering: vectorizing and parallelizing simulators and training code, profiling bottlenecks, and driving large speedups.
Deeply understand the capabilities and tools offered by Phaidra’s internal platform and how to utilize them to best serve our customers.
Maintain clear and concise documentation of your research, products and actions.
Participate in making decisions for the medium-to-long-term vision impacting Research and Phaidra.
Mentor peers and delegate tasks within the team, owning the project delivery.
Act as a point of contact between Research and Production engineering teams to productionize new breakthroughs rapidly.

Key Qualifications

4+ years of progressive relevant work experience.
Previous experience in leading projects and owning delivery end-to-end.
Previous experience as a Software Engineer or Machine Learning Engineer in an ML R&D environment, ideally bridging research and production.
Understanding of ML and ML-Ops concepts and ability to reason about systems with non-deterministic components.
Solid grasp of ML and ML-Ops concepts — experiment tracking, model registries/deployment, and the ability to reason about systems with non-deterministic components.
Fluency in a high level programming language, preferably Python.
A solid understanding of lower level programming languages such as C++ and Rust.
A strong engineering profile paired with a general scientific understanding (e.g. ML, optimization, control, or the physical sciences), so you can grow alongside our rapidly changing priorities and quickly go deep in unfamiliar domains.
Natural curiosity; desire to learn, go deep and problem-solve in new domains.
Excited to see the real world impact of your work; celebrate the success of your customers as your own.
Exceptional organizational and communications skills.
Alignment with Phaidra’s values: transparency, collaboration, operational excellence, ownership, empathy.

Preferred Skills & Experience

Understanding of industrial heating and cooling processes and their applications within manufacturing or data center environments.
Previous research experience in the field of ML or AI or MLOps experience.
Experience with Ray for distributed computing and orchestrating multi-node GPU workloads.
Exposure to reinforcement learning, simulation, and control systems.
A general scientific or physical-sciences foundation that helps you collaborate closely with researchers.

Our Stack

Python
PyTorch, scipy, scikit-learn, numpy, pandas, MLflow
Docker, Kubernetes, Ray
GCP

Onboarding

In your first 30 days…

You will be immersed in an onboarding program that introduces you to Phaidra, our product and our remote working norms. Your onboarding buddy will be there every step of the way.
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 start working on an onboarding exercise that will introduce you to various parts of our code base.
You will learn about various team standards and development & release processes.
You will start to learn about our system architecture and infrastructure.
You will familiarize yourself with the tools used to manage customer onboarding and operations.

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 started a project to improve Phaidra’s R&D tooling and/or infrastructure

By your first 90 days…

You will have been fully integrated in the team and with team members across the company.
You will have acquired a more in-depth understanding of our system architecture and infrastructure.
You will have identified process or tooling improvements and started bringing people together to work on solutions.
You will have become an expert with our systems. You will start to manage and own our tooling and infrastructure, seeing it accelerate our R&D efforts.
You will have started to contribute to knowledge sharing throughout Phaidra.
You will have delighted customers!

General Interview Process

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

Meeting with People Operations team member (30 minutes)
Meeting with Hiring Manager (30 minutes)
Algorithm & Data Structures Interview (60 minutes)
MLOps & System Design Interview with a Research Engineering team member (60 minutes)
Culture fit interview with Phaidra’s co-founders (30 minutes)

Base Salary

Tier 1 (Largest highest-cost metros): £126,289 - £173,648
Tier 2 (Other major metros): £113,660 - £156,283
Tier 3 (Mid-sized metro areas): £102,294 - £140,655
Tier 4 (All other locations): £92,065 - £126,589

In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate’s qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends.

Benefits & Perks

Fast-paced, team-oriented environment where your work directly shapes the company’s direction.
We are a 100% remote company.
Competitive compensation & meaningful 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 required minimum of 20 days per year.
Paid parental leave (exact benefits vary by region).
Flexible stipends to support your workspace, well-being, and continued professional development.
Company MacBook.

Please note: Not all of Phaidra’s benefits and perks listed above apply to temporary employees such as interns.

On being Remote

We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie.

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 hiring@phaidra.ai .

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

To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled.

Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire.

Candidates who advance beyond the initial screening stage will be required to sign a Non-Disclosure Agreement (NDA) in order to continue through the interview process.

All employment offers are contingent upon successful completion of employment authorization verification and applicable background checks, in accordance with local laws and company policies.

WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

Senior AI Research Engineer