AI Frameworks Engineer

2 Months ago • 2 Years + • Research & Development

Job Summary

Job Description

The AI Frameworks Engineer will develop and validate machine learning products for generic or domain-specific use, focusing on accuracy, performance, and ease of use. Responsibilities include prototyping, data analysis, collaborating with engineers on design and implementation, independently delivering and refining product features, designing validation tools and methodologies, and working with cross-functional teams to collect requirements and solve technical issues. The role involves improving product performance, implementing new models, porting models between frameworks, and leveraging existing models to enhance state-of-the-art solutions. Experience with deep learning frameworks (PyTorch, TensorFlow, MXNet) and traditional data analysis algorithms (SVM, PCA, K-means) is essential.
Must have:
  • Master's degree in Computer Science or related field
  • Proficiency in Python, C/C++, or Java
  • 2+ years experience in data analysis (image/video, NLP, or other)
  • Deep learning framework experience (PyTorch, TensorFlow, MXNet)
  • Excellent development and debugging skills
  • Experience in improving model performance
Good to have:
  • Assembly language knowledge
  • Experience porting models between frameworks
  • Experience with HPC cluster infrastructure management

Job Details

Job Description

Candidate is responsible to develop and validate machine learning product for generic purpose or common use in a certain domain specific field. This job is responsible to bring the best accuracy/performance as well as easy-of-use to customer. Job scope may be diverse during different stage of produce life cycle. The initial responsibility of hired employee will focus on developing products, tools and validation methods. The job scope may include:

- Participate in product concept readiness proving by implementing prototype, or collecting and analyzing data

- Actively co-work with other engineers in design review and product implementation

- Implement, deliver and refine product features independently ? Collect, analysis, and improve product performance independently

- Design and implement validation tools and test methodology to measure and assure quality and performance of products.

- Work closely with colleagues or customers cross organization or cross GEO to collect requirement, solve technical issue or share knowledge.

Qualifications

Qualifications

The candidate should possess at least a Master degree of Computer Science (or related BS/MS degree in Computer field) or a bachelor degree. The candidate should have following qualifications:

Language and and fundamental skill :

- Candidate should be solid on at least one of the following language and familiar with at least two: Python/ C/C++/JAVA.

- Assembly language will be a plus to be familiar with the knowledge of below domains: Computer architecture, Compiler, OS and language runtime environment.

- Machine learning: candidate should have experience in at least one of the following fields: 2 year+ experience in data analysis, in image/video, natural language, statistic data or other field. Experience in deep learning frameworks such as Pytoch, TensorFlow, , MXNet etc...

- Have improved performance for one of the frameworks is a plus

- Have implemented new model on one of the frameworks is a plus

- Have ported a model from one framework to another is a plus

- Have used existing model to improve state-of-art of empirical problem is a plus

- Candidate should be familiar with deep learning algorithm as well as traditional data analyze algorithm such as SVM, PCA, K-mean, etc.

- Technical/problem solving, excellent development and debugging skills (system level language such as C, C++ and assembly preferred)

- Proven track record of analyzing and solving complex technical problems

- Proven track record of deliver result in time on short release cycle

- Good understanding and excellent hands-on engineering capability of quality control in software development life cycle

- Good proven record for cluster infrastructure management with High Performance computing(HPC), like load balance , high availability service, and scalability

- Excellent written and oral communication skills and be able to clearly communicate technical details and concepts

Minimum requirements:

1. At least Master degree of Computer Science (or related BS/MS degree in Computer field) or a bachelor degree.

2. Candidate should be solid on at least one of the following language and familiar with two: Python/ C/C++/JAVA.

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, 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.

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

Working Model

This role will require an on-site presence.* Job posting details (such as work model, location or time type) are subject to change.

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About The Company

Intel’s mission is to shape the future of technology to help create a better future for the entire world. By pushing forward in fields like AI, analytics and cloud-to-edge technology, Intel’s work is at the heart of countless innovations. From major breakthroughs like self-driving cars and rebuilding the coral reefs, to things that make everyday life better like blockbuster effects and improved shopping experiences — they’re all powered by Intel technology. With a career at Intel, you have the opportunity to help make the future more wonderful for everyone.

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