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Full-Time

ML Applications Engineer

Confirmed live in the last 24 hours

Phaidra

Phaidra

51-200 employees

AI-driven virtual plant operator

Consulting
Hardware
Industrial & Manufacturing
Energy
Enterprise Software
Social Impact
AI & Machine Learning

Compensation Overview

$82.4k - $169.2kAnnually

+ Equity

Mid

Remote in USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Python
Requirements
  • 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
  • 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
Responsibilities
  • Wear different hats: Software Engineer, Controls Engineer, Data scientist, ML engineer
  • Deeply understand the capabilities and tools offered by Phaidra’s internal platform
  • 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
  • Understand AI behavior as applied to customer systems, identify issues, and implement improvements
  • Build necessary tools to augment your work
  • Maintain clear and concise documentation of your research, communications, and actions

Phaidra specializes in employing AI-driven deep reinforcement learning to optimize real-time controls in mission-critical facilities, enhancing stability, energy efficiency, and sustainability without constant programming updates. This company fosters a culture that is centered on technological advancement and sustainability in industrial operations, making it an ideal workplace for those passionate about using cutting-edge technology to make tangible improvements in operational efficiency and environmental impact. The focus on continuous learning and application of the latest technologies in AI reaffirms its commitment to both industry leadership and employee development.

Company Stage

Series A

Total Funding

$30.5M

Headquarters

Seattle, Washington

Founded

2019

Growth & Insights
Headcount

6 month growth

8%

1 year growth

38%

2 year growth

109%