This is an entry level position and will be compensated accordingly.
Builds machine learning based products/solutions, which provide descriptive, diagnostic, predictive, or prescriptive models based on data. Uses or develops machine learning algorithms, such as supervised and unsupervised learning, deep learning, reinforcement learning, Bayesian analysis and others, to solve applied problems in various disciplines such as Data Analytics, Computer Vision, Robotics, etc. Interacts with users to define requirements for breakthrough product/solutions. In either research environments or specific product environments, utilizes current programming methodologies to translate machine learning models and data processing methods into software. Completes programming, testing, debugging, documentation and/or deployment of the solution/products. Engineers Big Data computing frameworks, data modeling and other relevant software tools.
A successful candidate should possess the below behavioral traits:
- Strong written and verbal communication skills;
- Strong in statistical and analytical skills;
- Strong in problem solving skills
You must possess the below minimum qualifications to be initially considered for this position. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences.
- Must have a PhD in Engineering, sciences, or equivalent.
- 4 years’ experience in Data Science/Modeling.
Inside this Business Group
Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services.
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.