What are the responsibilities and job description for the Machine Learning Engineer position at Intel Corporation?
Job Description
Threat Detection Technology team is a small, high output team in the Software and AI IP 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 Machine Learning Engineer to join our team to work on an Artificial Intelligence (AI) model productization. The successful candidate will work on end-to-end ML pipelines from data processing, cleaning, labeling, training, optimizing, inferencing, retraining, and serving. Also, investigate the latest research in these areas and apply it to real world products that benefit our customers. .
The Responsibilities Will Include But Not Be Limited To
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 possess one of the following:
The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.
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 here.
Annual Salary Range for jobs which could be performed in the US $188,700.00-$266,400.00
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. * Job posting details (such as work model, location or time type) are subject to change.
Threat Detection Technology team is a small, high output team in the Software and AI IP 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 Machine Learning Engineer to join our team to work on an Artificial Intelligence (AI) model productization. The successful candidate will work on end-to-end ML pipelines from data processing, cleaning, labeling, training, optimizing, inferencing, retraining, and serving. Also, investigate the latest research in these areas and apply it to real world products that benefit our customers. .
The Responsibilities Will Include But Not Be Limited To
- Develop and implement machine learning algorithms and models in Python, C, and C .
- Building end-to-end ML workflows on AWS and on-premise infrastructure.
- Developing automation for machine learning training and inference processing.
- Maintain and improve existing machine learning codebases for efficiency and robustness.
- Participate in the full software development lifecycle, including design, coding, testing, and deployment.
- Excellent communication skills, with the ability to convey complex technical concepts effectively.
- Familiarity in modern research techniques
- Effective team player with a continuous learning mindset.
- High attention to detail.
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 possess one of the following:
- Bachelor's degree in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering with at least 6 years experience in developing code using C and C for performance-critical applications.
- OR Master's degree in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering with at least 4 years experience in developing code using C and C for performance-critical applications.
- Your experience should be in the following:
- Experience in developing code using C and C for performance-critical applications.
- Proficiency in Python with a strong command of ML libraries like (ex. numpy, scipy, sklearn, pyarrow, pybind11)
- Deep knowledge of Machine learning algorithms.
- Good understanding of Object Oriented concepts and Design patterns
- Familiarity with machine learning deployment strategies and containerization tools (e.g., Docker, Kubernetes)
- Proficiency in diagnosing technical problems, debugging code, and automating routine tasks.
- Working experience in computer security, malware analysis, and detection.
- Deep knowledge of Operating Systems, C/C programming, data structures, and CPU architectures.
- Agile software development.
- Linux development tools.
- Experience with continuous integration and continuous delivery tools (ex. Jenkins, Github, CMAKE)
The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.
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 here.
Annual Salary Range for jobs which could be performed in the US $188,700.00-$266,400.00
- Salary range dependent on a number of factors including location and experience
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. * Job posting details (such as work model, location or time type) are subject to change.
Salary : $188,700 - $266,400
