ML Applications Engineer

Key Skills

Aartificial intelligence, Data science techniques, DevOps, Effective communication skills, Machine learning techniques, MLOps tools, Python Programming

Job Description

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, 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.**

What you’ll do

• Wear different hats: Software Engineer, Data scientist, ML engineer
• 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.
• Work with our product, design and research teams to continuously improve how our products enable customer success at scale.
• Maintain clear and concise documentation of your research, communications, and actions.

What we’re looking for

• 4+ years of progressive relevant work experience
• Previous experience as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models in production. Understanding of ML concepts and challenges arising in ML backed products.
• 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 points

• Previous DevOps or MLOps experience.
• Previous experience on a customer adjacent role.
• Previous experience with control systems or interfacing with the physical world.
• Understanding of industrial heating and cooling processes and their applications within manufacturing or data center environments.

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!

Base Salary

• US Residents: $110,000 - $175,000 
• UK Residents: £88,500 - £129,500
• India Residents: 27.53L to 54.75L

 *Salary is location-dependent.

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 with an early exercise option.
• 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 stipend and company MacBook.
• Monthly internet reimbursement.