Machine Learning Engineer

Company Overview

We are 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 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

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 systems 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.
• Hybrid model- 2 times a week in office