Deep Learning Engineer

A leading startup in Israel in the field of AI, the company has developed its own language model and NLP-based products, using highly advanced language training engines considered among the largest globally today. Their platform, geared towards B2C, offers language analysis tools designed for individuals across various professions, industries, and academia to better cope with immense information overload. They have two main products: AI-powered writing and reading assistance applications that facilitate both composition and text generation.

Currently employing close to 250 individuals, situated in Tel Aviv near a train station, they adopt a hybrid two-day work-from-home model.

The company has raised over $200 million in funding, including a recent fundraising round, and is considered a unicorn valued at nearly $1.5 billion.

ROLE AND RESPONSIBILITIES

• Optimize model serving to support high throughput and low latency in production

• Enable model serving on various hardware and environments

• Perform large-scale evaluations and comparisons of trained models across a range of benchmarks, as well as adding support for new benchmarks

• Develop Large Language Models as part of our applied research projects and in support of the platform, including designing, implementing and training massive-scale deep language models

REQUIREMENTS

• B.Sc. in computer science, software engineering or equivalent

• Self learner, and proven record of ability to remove technical road-blocks

• 5+ years experience developing software for production systems and/or internal infrastructure/tools

• Prior experience working with cloud computing platforms (e.g. AWS, GCP, Docker, Kubernetes)

• Skilled at writing production-grade Python code

• Hands-on experience in deep learning and machine learning (TensorFlow/PyTorch..)

• Any one of the following:

Optimization of deep learning models (DeepSpeed, serialization, quantization)