Graduate Intern

Key Skills

AI technology, Algorithms, BERT, Computer Vision (CV), Deep Learning, Docker, Git, Jupyter Notebook, Keras software library, Knowledge graph, Kubernetes-K8s, Linux Operating system, matplotlib, Natural Language Processing (NLP), Neural Networks, NumPy, Pandas, Python Programming, PyTorch, Statistical modeling, TensorFlow

Job Description

Are you excited to work at the bleeding edge of AI, natural language processing, and machine learning? The Multimodal Cognitive AI Team at Intel Labs is seeking stellar interns to join ongoing research and development activities. The ideal candidate would be currently pursuing graduate studies or have significant undergraduate research experience in areas associated with AI, Machine Cognition, and its applications in NLP. The internship will provide a unique opportunity for candidates to combine generative models in deep learning with symbolic knowledge to drive a new class of machine intelligence solutions with higher efficiency, explainability, extensibility, and reasoning.

This is an internship position and compensation will be given accordingly.

Qualifications

You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork and/or classes and/or research and/or relevant previous job and/or internship experiences

Minimum Requirements:

• The candidate must be pursuing a Bachelor's degree, Master's degree or PhD degree in Computer Science
• 2+ years' experience in software development and knowledge of Python and Linux
• 2+ years' experience Expertise in Deep Learning Frameworks: PyTorch, TensorFlow, Keras, etc
• 6+ months experience in statistics, modeling, and algorithms

Preferred Qualifications:

• Knowledge of state-of-the-art models in NLP e.g., attention-based transformers like BERT
• Knowledge of language modeling and text generation algorithms
• Familiarity with NLP benchmark datasets for evaluating abductive, counterfactual, and commonsense reasoning
• Experience with knowledge representation and reasoning, knowledge graphs, and Graph Neural Networks
• Stellar data analysis skills: Familiarity with Python modules such as NumPy, pandas, matplotlib, Plotly, and sklearn
• Experience with Jupyter, Git, Kubernetes, and Docker
• Contributions to projects hosted on public GitHub repositories
• Record of publication in Tier-1 Deep Learning/AI/NLP/CV conferences and journals

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.

Covid Statement

Intel strongly encourages employees to be vaccinated against COVID-19. Intel aligns to federal, state, and local laws and as a contractor to the U.S. Government is subject to government mandates that may be issued. Intel policies for COVID-19 including guidance about testing and vaccination are subject to change over time.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here: https://www.intel.com/content/www/us/en/jobs/benefits.html

Annual Salary Range for jobs which could be performed in US, Colorado, New York, Washington, California: $63,000.00-$166,000.00

Salary range dependent on a number of factors including location and experience

Working Model

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