Deep Learning Engineer

A leading startup in the field of AI in Israel, the company has developed its own language model and NLP-based products - using highly advanced language training engines, considered the most significant today globally. Their platform is B2C, offering tools based on language analysis models designed to assist individuals across various professions, industries, and academia in coping better with vast amounts of information.

They have two main products: AI-based writing and reading assistant applications that enable both drafting and generating texts. It's the only product in Israel that constructs language models from scratch!

Additionally, the company has developed an application for summarizing lengthy documents, primarily used by professionals in fields such as finance, supporting 12 languages.

There are currently over 500K active users of the company's products. With close to 250 employees, the company is located in Tel Aviv, near a train station, and follows a hybrid model, working two days from home.

Responsibility -

• 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 roadblocks

• 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..)