ML Applications Engineer (UK)

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 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, Spain, Portugal, and India.

**Please only apply to one opening. If you are a better fit for another opening, our team will move your application. Candidates who apply to multiple openings will not be considered.**

Responsibilities

• Wear different hats: Software Engineer, Controls Engineer, Data scientist, ML engineer.
• Deeply understand the capabilities and tools offered by Phaidra’s internal platform.
• Work with Solutions Engineers to build the right solutions for new customer applications.
• Maintain customer applications after initial onboarding. Help resolve product issues, improve system configuration and ensure the timely and thorough resolution of engineering interventions.
• As part of our Customer Success team, understand AI behavior as applied to customer systems, identify issues with it and implement improvements.
• Build necessary tools to augment your work.
• Maintain clear and concise documentation of your research, communications, and actions.

*We are seeking a team member located within one of the following areas: UK

UK-based candidates may have personal data shared with UK Visas & Immigration.

Key Qualifications

• 4+ years of progressive relevant work experience
• Previous experience as a Software Engineer, Data Scientist or Machine Learning Engineer in a industrial controls or process engineering environment.
• Understanding of ML concepts and ability to reason about systems with non-deterministic components.
• Fluency in a high level programming language, preferably Python.
• Natural curiosity; desire to learn, go deep and problem-solve in new domains.
• Those excited to see the real world impact of their work; those who celebrate the success of their customers as their own.
• Exceptional organizational and communications skills.
• Alignment with Phaidra’s values: transparency, collaboration, operational excellence, ownership, empathy.

Bonus 

• Previous DevOps or MLOps experience.
• Previous experience on a customer adjacent role.
• Understanding of industrial heating and cooling processes and their applications within manufacturing or data center environments.
• Interest in computer science topics like logic programming or constrained optimization

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 wi