who has worked in operating plants and is interested in applying AI and machine learning software

to improve real-world industrial performance.

Experience in refining

is preferred. We also value experience in other large-scale industrial operations, including ammonia production, LNG, and polyethylene or other petrochemical plants.

This is a customer-facing role

for someone who enjoys troubleshooting, understands how plants actually operate, and has an affinity for modern software, data, and emerging technologies.

Responsibilities

• Support deployment, validation, and tuning of AI/ML-driven alerts and diagnostic insights

  for operating plants

• Analyze plant operating data to identify abnormal conditions, alarm patterns, and root causes

• Collaborate closely with customer-facing teams to ensure models reflect real plant behavior

• Improve plant troubleshooting and reliability by reducing mean time to detection (MTTD)

  and mean time to resolution (MTTR)

• Act as a technical partner to customers, translating operational knowledge into practical, data-driven insights

• Participate in occasional domestic and international travel

  to customer sites as needed ( generally less than 25% travel

  )

Qualifications

• 2+ years of experience

  in process engineering, operations engineering, or production engineering

  ( 5+ years preferred

  )

• Hands-on experience in industrial plant operations

  , including refineries, ammonia plants, LNG facilities, polyethylene, or other continuous-process operations

• Comfort working directly with customers and communicating technical concepts clearly

• Demonstrated curiosity or interest in industrial software, analytics, AI, or machine learning

• Fluent in English

  , with the ability to communicate clearly in both written and spoken contexts

• B.S. in Chemical Engineering preferred

  , but not required depending on depth and relevance of experience

Why Join ControlRooms.ai?

ControlRooms.ai builds cutting-edge AI and machine learning software for industrial operations

. Our platform is deployed at complex plants globally and is helping customers unlock millions of dollars in value

through improved reliability, faster troubleshooting, and better operational decision-making.

You’ll join a fast-scaling, highly technical, remote-first team

working at the intersection of process engineering, data, and modern software

. This role offers the opportunity to apply real plant experience to high-impact ML products, influence how the platform evolves, and help bring advanced AI capabilities into industrial environments that are rapidly adopting them.