TL;DR
Imubit is looking for a top-notch Senior machine learning research engineer to help disrupt the manufacturing world with breakthrough deep reinforcement learning algorithms!
About us:
At Imubit, we’re not just optimizing industrial processes—we’re redefining how entire industries operate. As the pioneer of Closed Loop AI Optimization (AIO), we are leading the charge in transforming refining, chemical, cement, and mineral mining plants with AI-driven automation. Our Optimizing Brain™ Solution puts the power of AI directly into the hands of engineers, enabling them to build and deploy their own multipurpose models to unlock new levels of efficiency, profitability, and sustainability.
Seven of the top ten U.S. refiners trust Imubit, with our solution deployed in over 90 high-value applications, delivering real-time process optimization that drives margins, reduces emissions, and builds the AI-savvy workforce of the future. Co-founded by a Google Fellow and award-winning data scientist, Imubit brings together domain experts from industry leaders like Exxon, Shell, Holcim, and FLSmidth. Backed by tier-1 venture capital firms such as Insight Partners and Alpha Wave, we are setting a new standard for industrial AI.
Our mission is simple but bold: helping the world’s leading industrial companies solve their most complex challenges, maximize long-term profitability, and future-proof their operations in an era of rapid change. If you’re ready to push boundaries and shape the future of industrial intelligence, now’s the time to join us.
We are looking for:
You, a top-notch machine learning research engineer, to join our CTO office, and lead complex deep learning research and deployment activities. This is a one-of-a-kind chance to be on board an extremely successful startup, get exposed to various technological and scientific disciplines, and work with world-renowned experts in machine learning.
As a machine learning research engineer at our CTO office, you will:
- Conduct long-term open-ended research that enhances and expands Imubit’s deep reinforcement learning technology.
- Solve unique challenges arising from the field, leveraging Imubit’s core technology to develop and deploy tailored solutions to clients.
Requirements:
- BSc in CS/EE/Math/Physics from a well-known university
- At least 3-4 years of hands-on machine learning experience
- Education in machine learning at the level of advanced academic courses
- Practical experience with deep learning
- Self-reliant, proactive, with strong motivation and an inquisitive mind
Advantage:
- MSc in machine learning or related area
- Experience with deep learning on time series data (Transformers / recurrent models)
- Experience with training neural networks in cloud environments (GCP/AWS) and distributed systems
- Experience/education in signal processing and/or control theory
- Proven research background
- Experience in leading projects and mentoring
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What We Do
At Imubit, we’re driven by a mission to tackle and solve the toughest challenges at chemical plants and refineries.
Our solution - the Imubit Closed Loop Neural Network™ - is an AI process optimization technology that enables plant managers to discover, engineer and monetize process optimization opportunities considered impossible until now.
As the first-ever technology of its kind in the industry, our neural network solution interconnects planning and economics, process engineering, process control and operations, in using historical data to learn subtle nonlinear dynamics, and optimize economically critical plant parameters in real time. This end-to-end solution is currently running in the world’s largest refining and petrochemical plants, unlocking millions of dollars a year in annual margin for operators.
Imubit is led by globally-renowned, Google-endorsed machine learning scientists and world-class hydrocarbon processing experts with over 220 years of industry experience.
