Job Description
<h3>📋 Description</h3> • Phaidra is building the future of industrial automation.
• Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time.
• The ideal candidate enjoys owning end-to-end workflows—from prototyping to production—and is comfortable navigating both model development and software engineering.
• Building robust ML pipelines for training, evaluation, and deployment of control algorithms.
• Supporting reproducibility and code quality across the team. <h3>🎯 Requirements</h3> • 1+ years of prior experience in applied machine learning or software engineering.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.
• Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or JAX.
• Strong foundations in supervised learning, reinforcement learning, or control systems.
• Familiarity with common tools for experimentation (e.g., Ray, MLFlow, WandB, or similar).
• Ability to write high-quality, testable, and maintainable code.
• Share our company values: Collaboration, Transparency, Operational Excellence, Ownership, and Empathy. <h3>🏖️ Benefits</h3> • 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.