Refining and Economics Optimization Engineer

at  Imubit

TL;DR:
Imubit is looking for a top-notch Refining and Economics Optimization Engineer to help transcend the process industries with breakthrough machine learning technologies.

ABOUT US:

Imubit directly controls and optimizes refineries and chemical plants with AI to add millions of dollars to the plant bottom line while managing safe operating limits, energy efficiency, and sustainability objectives. Imubit’s Closed Loop Neural Network platform allows customers to leverage an advanced form of AI called Reinforcement Learning (RL). Through our patented approach to apply RL for industrial processes, industry leaders have been able to fundamentally change the way they optimize their plants and improve profitability in real-time. Imubit’s solution is currently optimizing the manufacturing facilities of Fortune-500 companies. Imubit has combined the industry expertise from companies like Exxon and Shell with award-winning data scientists endorsed by Google. Imubit is backed by tier-1 venture capital firms such as Insight Partners.

WHO WE ARE/WHY US

We are an energetic group of engineers and professionals, all looking to use our talents and experience to innovate the future of technology and energy. What started out as a team of engineers with a dream to change the way AI transcends refineries has turned into a global team of over 130 engineers, scientists, and industry experts at the cutting edge of the AI industry. The impact of our work can be seen both in the growth of the company and through the millions of dollars we are saving refineries all over the world. Our company culture is collaborative, inclusive, and supportive. We work through challenges and overcome obstacles together.
Here at Imubit, we work hard and we play hard. We share a belief in Imubit’s mission to invent new technologies that help our clients transcend beyond the limits of what they considered possible. We accomplish this with creativity, innovation, dedication, safety, and integrity.