Machine Learning Engineer

About Phaidra

Phaidra is building the future of industrial automation. We create AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time.

• 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, Italy, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India.

Who You Are

Phaidra is looking for a creative and pragmatic Machine Learning Engineer to join our research team. You are passionate about bringing AI into the physical world and thrive at the intersection of theory and practical application. You will work closely with researchers, engineers, and customers to build, scale, and deploy intelligent systems in industrial environments.

You will have the opportunity to make immediate impact by helping design and implement learning-based control systems—pushing the boundaries of how AI interacts with complex, dynamic processes.

We are seeking a team member located within one of the following areas: UK, USA, or Canada.

• In the United States: California, Colorado, Connecticut, Georgia, Florida, Indiana, Maryland, Minnesota, Missouri, Nebraska, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, Washington.
• In Canada: Ontario, British Columbia, and Alberta.

Responsibilities

The ideal candidate enjoys owning end-to-end workflows—from prototyping to production—and is comfortable navigating both model development and software engineering. Your work will include:

• Building robust ML pipelines for training, evaluation, and deployment of control algorithms.
• Working with researchers to implement cutting-edge methods in Deep Learning and Reinforcement Learning.
• Collaborating with software engineers to integrate models into real-time systems.
• Designing tools and infrastructure to support large-scale experimentation and iteration.
• Performing rigorous evaluations on simulation and real-world data, and tuning models for safety, performance, and robustness.
• Supporting reproducibility and code quality across the team.

Key Qualifications

• 1+ years of experience in Machine Learning Engineering.