Machine Learning Research Engineer

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 is revolutionizing manufacturing paradigms with specialized deep reinforcement learning algorithms developed by world-class machine learning scientists. At this very moment, facilities of multiple Fortune-500 companies across the world are being optimized by Imubit, enjoying hundreds of millions of dollars in incremental value. The company was founded by award-winning scientists, elite IDF tech unit graduates, and serial entrepreneurs. It is backed by top venture capital firms.

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