Job Details:

Job Description: 

Transform groundbreaking LLM and NLP research into practical and scalable solutions for real-world business challenges. Design, develop, and implement state-of-the-art deep learning models for natural language understanding, machine translation, text summarization, and more. Continuously monitor and analyze emerging trends in NLP to ensure our solutions remain at the cutting edge of technological innovation. Foster strong collaborations with internal research teams and academia to expedite the transition of groundbreaking research into marketable products. Mentor and train junior data scientists.

Qualifications:

Master's degree or Ph.D. in Computer Science, Statistics, Machine Learning, or a related field with a focus on NLP. At least five years of strong expertise in Natural Language Processing (NLP) and large language model (LLMs). Proficiency in developing and optimizing deep learning architectures such as transformers and sequence-to-sequence models. Solid knowledge of machine learning techniques, including supervised and unsupervised learning, transfer learning, and reinforcement learning, to enhance NLP models. Excellent coding skills in Python with the ability to write efficient, modular, and well-documented code. Experience with deep learning frameworks such as Pytorch or Tensorflow and LLM orchestration platforms such as LangChain and Haystack. Good written and verbal communication skills for expressing technical ideas and initiatives

          

Job Type:

Experienced Hire

Shift:

Shift 1 (Israel)

Primary Location: 

Israel, Petah-Tikva

Additional Locations:

Business group:

Intel's Sales and Marketing (SMG) organization works with global customers and partners to solve critical business problems with Intel based technology solutions. SMG works across business units to amplify the customer voice and deliver solutions that accelerate their business. We work across numerous industries, including retail, enterprise and government, cloud services and healthcare as examples. The operations team focuses on forecasting, driving alignment with factory production and delivering efficiency tools and our marketing capability drives demand and localized marketing in locations around the globe. Our sales force navigates a complex partner and customer ecosystem while shaping product roadmaps, driving value for our customers, and collaborating to harness emerging technology trends to deliver comprehensive solutions.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.