We are looking for a top-notch machine learning research engineer to help disrupt the manufacturing world with breakthrough deep reinforcement learning algorithms!
About us:
We are 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 us, 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 our deep reinforcement learning technology.
Solve unique challenges arising from the field, leveraging our 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.
This position is open to all candidates.