We are an applied research team focusing on natural language processing (NLP) and deep learning software and hardware technologies dedicated to state-of-the-art inference and training techniques.

We combine exploratory research with hands-on development of optimizations and novel topologies (neural networks) for efficient and scalable implementation of NLP solutions on Intel's current and future hardware.

We are looking for an experienced applied AI researcher to help us with our research efforts in the field of efficient NLP models and applications (e.g. new topologies, software and hardware optimization, decomposition of training-inference pipelines).

As an NLP researcher, you will be analyzing and optimizing NLP models to run best on Intel hardware (e.g. making them smaller, faster, and consuming less energy).

Your responsibilities will mainly include:

Examining novel methods, analyzing performance, and writing efficient kernels to boost the efficiency of neural networks.
Taking part in research projects with top researchers and engineers at Intel and in academia and publishing papers in top academic venues.
Actively participate and contribute to the open source community

Qualifications

Job qualifications

- MSc. or Phd. in Computer Science, Computer Engineering, or related fields.
2+ years of experience in developing machine learning, deep learning or NLP models.
- Strong theoretical background in Deep Learning and NLP.
- Extensive experience in software engineering, primarily Python and C++.
- Experience with deep learning frameworks such as Pytorch or Tensorflow.
- Good written and verbal communication skills for expressing technical ideas and initiatives.

Extra points:

- Experience in writing low-level optimizations in Pytorch/Tensorflow (e.g. kernels, ops).
- Experience in mapping and understanding the performance of neural network models.
- Publications in top DL/ML/NLP/IR venues, such as NeurIPS, ICLR, ICML, ACL, EMNLP, NAACL, or SIGIR.
- Experience with popular open source deep learning libraries (e.g. Huggingface Transformers, fairseq, deepspeed).
- Knowledge of MLOps and data science tools and frameworks (e.g. Linux, Kubernetes).

Inside this Business Group

Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

Other Locations

Israel, Haifa

Work Model for this Role

This role is available as fully home-based and generally would require you to attend Intel sites only occasionally based on business need.