TL;DR

Imubit is looking for a top-notch Machine Learning Research Engineer to help disrupt the manufacturing world with breakthrough deep learning algorithms!

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 Reinforcement Learning (RL) developed by world-class machine learning scientists. 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.

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