Senior ML Applications Engineer

Overview

Job Description

Responsibilities

• - Wear different hats: Software Engineer, Controls Engineer, Data scientist, ML engineer, Solutions Engineer
• - Deeply understand the capabilities and tools offered by Phaidra''s internal platform
• - Work with Solutions Engineers and the Research team to build the right solutions for new customer applications
• - Onboard and maintain agents that control the industrial facilities of our customers
• - Continuously look for ways to improve performance
• - Prototype tooling to make onboarding and maintaining agents simpler and more scalable
• - Maintain clear and concise documentation of your research, communications, and actions

Required Skills

• - 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
• - Understanding of ML concepts and ability to reason about systems with non-deterministic components
• - Understanding of industrial processing systems, fluid dynamics, heat transfer, etc.
• - Fluency in a high level programming language, preferably Python
• - Natural curiosity; desire to learn, go deep and problem-solve in new domains
• - Exceptional organizational and communications skills
• - Alignment with Phaidra''s values: transparency, collaboration, operational excellence, ownership, empathy

Benefits

• - Fast-paced and team-oriented environment
• - 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