ML Engineer

We are looking for an experienced AI/ML engineer to join our growing AI pipelines team.

Company Overview

NeuReality is developing an innovative HW/SW computing platform for DL inference acceleration which sets new, unprecedented, bars of high performance and cost. Our platforms are targeted for cloud and enterprise (in-perm) environments.

Role description:

You will join the core AI/ML Pipeline development team of Neureality R&D which is responsible for the following main deliverables:

Designing, analyzing, and optimizing workloads from various sources (open source, customer-provided, home-grown) on Neureality platforms. The focus is on workloads for NLP, speech, and computer vision.
Benchmarking and competitive analysis of workloads on other inference acceleration platforms.
Working directly with customers on new requirements and efficient deployment of their workloads on NeuReality platform
Identifying missing gaps and new requirements for SW/HW to improve workload performance and efficient deployment.

This is an exciting opportunity to work on cutting-edge and emerging technologies, across multi-disciplinary domains of deep-learning models and computer architectures.

This is not a position of data science!

Requirements:

BSc/MSc in Computer Science or Computer Engineering from an accredited university
3 years of hands-on experience in Python programming and DL frameworks (mainly PyTorch)
Experience in hardware/embedded system is an advantage
Experience in implementing algorithms on embedded systems
Experience in ML engineering and specifically, developing AI pipelines (composed of trained DL models and pre/post-processing), data streaming, model zoo handling, and inference serving in production environments.