ML Applications Engineer
Overview
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.
Job Description
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.
Responsibilities
- - Wear different hats: Software Engineer, Controls Engineer, Data scientist, ML engineer, Solutions Engineer
- - Deeply understand the capabilities and tools offered by Phaidra’s internal platform and how to utilize them to best serve our customers
- - Work with Solutions Engineers and the Research team to build the right solutions for new customer applications
- - Onboard and maintain agents that control the industrial facilities of our customers
- - By deeply understanding the behavior of these agents and the industrial facilities they control, you will continuously be looking for ways to improve performance, working with teams across Phaidra to make that a reality
- - Prototype tooling to make onboarding and maintaining agents simpler and more scalable, then work with our engineering and product teams to productionize impactful tools
- - Maintain clear and concise documentation of your research, communications, and actions
Required Skills
- - 4+ years of progressive relevant work experience
- - Previous experience as a Software Engineer, Data Scientist or Machine Learning Engineer in an industrial controls or process engineering environment
- - Understanding of ML concepts and ability to reason about systems with non-deterministic components
- - Understanding of industrial processing systems, fluid dynamics, heat transfer, etc.
- - 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
Benefits
- - 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
About the company
Phaidra provides artificial intelligence controls to optimize mission critical facilities. Our closed-loop AI control service helps your operations team deliver step function improvements in plant stability, energy efficiency and sustainability.