Deep Learning Research Engineer

TL;DR

Imubit is looking for a top-notch Deep 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 Deep Learning Research Engineer, to join our CTO team and lead complex deep learning research and deployment activities. This is a one-of-a-kind chance to be on board an extremely successful and fast-growing startup, 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 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

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
Self-reliant, proactive, show strong motivation and an inquisitive mind
Proven research background
Experience in leading projects and mentoring

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.