TL;DR

Imubit is looking for a top-notch 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 research engineer, to join our core R&D team, and develop deep learning algorithms unlike anything that exists today. This is a one-of-a-kind chance to be on-board an extremely successful and fast-growing startup at an early stage, get exposed to various technological and scientific disciplines, and work with world-renowned experts in machine learning.

Requirements:

• BSc in CS/EE/Math/Physics from well-known university, with GPA > 90/100
• Hands-on SW development experience, strong Python background
• Education in machine learning at the level of advanced academic courses
• Practical experience with deep learning on TensorFlow/PyTorch

Advantage:

• MSc in machine learning or related area
• Experience with deep learning on time series data (RNN/LSTM/Self-Attention)
• Experience with training neural networks in cloud environments (GCP/AWS) and distributed systems
• Experience/education in signal processing

Imubit provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Imubit complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.