AI Frameworks Engineer Internship (Graduate / Ph D Level) | Alabaster, AL

Detailed Information

  • Location: Fully Remote

  • Company: Intel

(Open FL) framework. As part of the Open FL team, you'll have the opportunity to design and implement new aggregation algorithms, contribute to novel research and patents at the intersection of AI / Security, build new platform features, and represent the Open FL team in the open source community through technical presentations and in debugging customer issues.

Responsibilities: Conceiving, researching, and prototyping federated learning algorithms and rapidly prototyping software for the Open Federated Learning (Open FL) framework. Rapid prototyping of new features and working with the software engineering team to integrate into the platform. Interacting with the open source community

through Github and Slack Improving framework documentation based on user feedback. Qualifications Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications: Candidates must be pursuing a Master's or Ph D degree in Computer Science, Machine Learning, Computer Engineering, Data Science, Applied Mathematics or a related field. Should be in excellent academic

standing.6+ months experience in: Python Mathematical foundations for Deep Learning and Neural Network, statistics, data science basics Familiarity with Py Torch, Tensorflow, or another deep learning framework Preferred Qualifications: Prior research experience in federated learning, deep learning, machine learning, graph analytics, numerical analysis Have a good understanding of current models and training algorithms Developing new models or algorithms for federated/distributed learning applications Familiarity with distributed computing/large computing clusters Familiarity with Docker, Kubernetes or other container technologies Familiarity with Large Language Models and Foundation Models Strong communication and collaboration skills Prior experience as a contributor to open source projects and providing technical help to users Privacy Preserving ML Adversarial ML Inside this Business Group The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel's transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices.

The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies-spanning software, processors, storage, I/O, and networking solutions-that fuel cloud, communications, enterprise, and government data centers around the world.

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

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. Annual Salary Range for jobs which could be performed in US, Colorado, New York, Washington, California: $63,000.00-$166,000.00Salary 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. Requisition #: JR0254170pca3lyuhf

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