ML Applications Engineer at Phaidra

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 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 assisted in the resolution of customer software engineering related challenges.
• You will have learned how to use our case management, customer onboarding and operations tools.

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 become an expert with our tooling.
• 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.

1. Initial screening interview with a People Operations team member (30 minutes)
2. Meeting with the Hiring Manager (45 minutes)
3. Technical Software Engineering Interview (45 minutes)
4. Technical Controls/Process Engineering Interview (45 minutes)
5. Culture fit interview with Phaidra’s co-founders (30 minutes)

Base Salary

• United Kingdom Residents: £76,000-£114,000/year

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.