AI Research Scientist

Folsom, CA, United States

Platform Security Engineering (PSE) is a small, high output team in the Software and Advanced Technology Group. Our team invents next generation "AI for Security" solutions to detect cyber threats using Intel CPU features and machine learning techniques http://www.intel.com/tdt . Solutions developed by our team have been deployed in over a Billion systems.

We are seeking a motivated AI Research Scientist to conduct research and develop innovative, AI-driven products delivered by our industry-leading partners! The candidate will collaborate with other team members and our partners to solve real-world challenges such as cyber threat detection and other novel problems on emerging Intel platforms.

The responsibilities will include, but are not limited to the following:

Research, implement, tune, and sustain ML-based solutions to detect unwanted behaviors that indicate possible cyber-attacks.

Update existing models for drift/increased scope.

Implement practical modeling enhancements for existing AI models and ML processes.

Research green field/novel AI technologies and ideas for new products.

Build classical and neural network-based models from scratch (CNN, BERT, Transformers, XGBoost, K-Means, etc.).

Collaborate with both engineering and data science team members.

Prepare and present technical reports on research and/or modeling results.

Highly motivated self-starter.

Effective team player with a continuous learning mindset.

Qualifications: You must possess the below minimum qualifications 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

The candidate must have have an Master's Degree in the field of Data Science, Mathematics, Informatics, Computer Science, Computer Engineering, or closely related areas and 4+ years of experience -OR- a PhD degree in the field of Data Science, Mathematics, Informatics, Computer Science, Computer Engineering, or closely related areas and 2+ years of experience in:

ML/AI

Surveying academic literature and applying it to real-world/business problems

Feature Engineering, post classification time series, and other fine tuning.

Root cause analysis of unexpected experimental results.

Developing problem-specific AI characterization and quality metrics.

Deep understanding of AI theory and Data Science principles.

Python programming and common statistical and ML libraries (both classical and deep learning, such as PyTorch, TensorFlow, Keras, sklearn, XGBoost, etc.)

Machine learning, statistics, and math.

Preferred Qualifications

Publications at peer-reviewed AI conferences (e.g. NeurIPS, ICML, ICLR, AAAI, etc.).

Experience building/tuning AI models at production scale.

Time spent working in or studying software engineering, especially optimizing the performance of AI algorithms.

Working experiences in cyber security, malware analysis, and detection.

Operating Systems, C/C++ programming, and data structures, CPU architectures.

Job Type: Experienced Hire Job Details: Job Description:  Platform Security Engineering (PSE) is a small, high output team in the Software and Advanced Technology Group. Our team invents next generation "AI for Security" solutions to detect cyber threats using Intel CPU features and machine learning techniques http://www.intel.com/tdt . Solutions developed by our team have been deployed in over a Billion systems.

We are seeking a motivated AI Research Scientist to conduct research and develop innovative, AI-driven products delivered by our industry-leading partners! The candidate will collaborate with other team members and our partners to solve real-world challenges such as cyber threat detection and other novel problems on emerging Intel platforms.

The responsibilities will include, but are not limited to the following:

Research, implement, tune, and sustain ML-based solutions to detect unwanted behaviors that indicate possible cyber-attacks.

Update existing models for drift/increased scope.

Implement practical modeling enhancements for existing AI models and ML processes.

Research green field/novel AI technologies and ideas for new products.

Build classical and neural network-based models from scratch (CNN, BERT, Transformers, XGBoost, K-Means, etc.).

Collaborate with both engineering and data science team members.

Prepare and present technical reports on research and/or modeling results.

Highly motivated self-starter.

Effective team player with a continuous learning mindset.

Qualifications: You must possess the below minimum qualifications 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

The candidate must have have an Master's Degree in the field of Data Science, Mathematics, Informatics, Computer Science, Computer Engineering, or closely related areas and 4+ years of experience -OR- a PhD degree in the field of Data Science, Mathematics, Informatics, Computer Science, Computer Engineering, or closely related areas and 2+ years of experience in:

ML/AI

Designing custom model architecture(s) to solve novel problems.

Surveying academic literature and applying it to real-world/business problems

Feature Engineering, post classification time series, and other fine tuning.

Root cause analysis of unexpected experimental results.

Developing problem-specific AI characterization and quality metrics.

Deep understanding of AI theory and Data Science principles.

Visualization techniques, dimension reduction (PCA, autoencoders, t-SNE, etc).

Python programming and common statistical and ML libraries (both classical and deep learning, such as PyTorch, TensorFlow, Keras, sklearn, XGBoost, etc.)

Machine learning, statistics, and math.

Preferred Qualifications

Publications at peer-reviewed AI conferences (e.g. NeurIPS, ICML, ICLR, AAAI, etc.).

Experience building/tuning AI models at production scale.

Time spent working in or studying software engineering, especially optimizing the performance of AI algorithms.

Working experiences in cyber security, malware analysis, and detection.

Operating Systems, C/C++ programming, and data structures, CPU architectures.

Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location:  US, Oregon, Hillsboro Additional Locations: US, California, Folsom, US, California, San Diego Business group: Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software. 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 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, California:$186,552.00-$279,772.00 S al ary range dependent on a number of factors including location and experience.

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.

Intel provides reasonable accommodation to applicants and employees. For more information on our Reasonable Accommodation process, please click here .

To view our candidate privacy notice, please click here .

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