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Description:
Phaidra is seeking an ML Applications Engineer to contribute to the development of AI-powered control systems for the industrial sector.
The role involves wearing multiple hats, including Software Engineer, Controls Engineer, Data Scientist, ML Engineer, and Solutions Engineer.
Responsibilities include understanding Phaidraโs internal platform, collaborating with Solutions Engineers and the Research team, onboarding and maintaining agents for industrial facilities, and prototyping tools for scalability.
The position requires maintaining clear documentation of research, communications, and actions.
Phaidra operates 100% remotely and hires internationally, with team members located in various countries.
Requirements:
Candidates must have 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 is required.
A solid understanding of ML concepts and the ability to reason about systems with non-deterministic components is necessary.
Knowledge of industrial processing systems, fluid dynamics, and heat transfer is essential.
Fluency in a high-level programming language, preferably Python, is required.
Candidates should possess natural curiosity, exceptional organizational and communication skills, and alignment with Phaidraโs core values.
Bonus points for knowledge of chiller plant fundamentals, previous customer-adjacent roles, and an interest in computer science topics.
Benefits:
Phaidra offers a fast-paced and team-oriented environment with competitive compensation and equity.
The company provides a 100% remote work policy, including a digital nomad policy.
Employees receive unlimited paid time off, with a minimum requirement of 20 days off per year, and paid parental leave.
Benefits include medical, dental, and vision insurance, a home office setup allowance, and a coworking space stipend.
Phaidra emphasizes professional development through foundational training and customer immersion.