Senior Principal AI Engineer

Key Skills

Cloud computing, Bayesian networks, PyTorch, TensorFlow, Linear regression, Kubernetes-K8s, AI technology, Kubeflow, DataOps, MLOps tools, Topological

Job Description

Intel is seeking a Senior Principal AI Engineer to build the next-generation software and AI-defined data center and grow our Cloud and AI Business. This is a technical leadership role in the emerging technologies team with deep Cloud and AI domain expertise, responsible for driving product roadmap and strategy, building early pilot programs and deploying effective and targeted products globally. The candidate will pursue these challenges as a data science thought leader and key partner in Intel's Data Center and AI organization. They will influence technical strategies to help us solidify Intel's top spot in Cloud/AI and continue our quest to revolutionize the future of cloud-based AI-enabled products across multiple industries such as autonomous vehicles, personalized health, and sustainable manufacturing.

The ideal candidate will have experience building cloud-based AI-driven products across multiple verticals. The right candidate will have a combination of creativity and analytical skills and an entrepreneurial spirit. The successful candidate will be a broad technical leader in Cloud and AI - part researcher, part hands-on developer, and part evangelist. They will craft pilots and drive development focused on winning new customer segments and growing existing customer segments for the long term. The candidate will have the technical depth and business experience to easily communicate the benefits of Cloud and AI services, platforms and frameworks to data scientists, architects, engineering teams, and C-Level executives.

Role and Responsibilities:

• Build strategic and novel cloud-based data science products that help accelerate Intel's vision for Cloud and AI growth, and guide ongoing product development.
  Drive Cloud and AI platform adoption worldwide while working with a world class engineering team to ensure we have the best possible products and services for our customers.
• Enable the development of Cloud and AI systems that seek to improve business productivity, autonomy, and safety.
• Translate machine learning technologies to business value across multiple verticals (e.g. Deep Learning models for Computer Vision, and Natural Language Processing).
• Drive AI technologies (e.g. ML Ops) as a mechanism for enabling digital transformation in enterprise customers.
• Serve as an evangelist for cloud and AI services within Intel, and externally.
  Instill an inclusive team culture that is innovative and collaborative.

Additional Skills

Exceptional communication skills, articulate with both technical and business partners, create effective frameworks to aid the discussion of complicated technical topics.

Minimum Qualifications

• B.S in Mathematics, Computer Science or Engineering or related field with 15+ years of experience or M.S in Mathematics, Computer Science, Engineering with 10+ years of experience
• 8+ years of experience in applied data science and distributed computing, spanning some or all of statistics, experimentation, machine learning, optimization techniques, and data engineering and architecture.
• 5+ years of Experience working across large and geographically distributed data science product teams.

Preferred Qualifications

Ph.D in a quantitative field such as Mathematics, Computer Science, Engineering
Experience with one or more of the following Cloud and AI technologies:
Cloud-native architectures (Containers, Kubernetes, Serverless)
DataOps, MLOps (Kubeflow, Ray)
Tightly-coupled and Loosely-coupled HPC frameworks
Deep Learning, ML Frameworks (PyTorch, TensorFlow)
Physics-based hybrid models (Physics-informed Neural Networks, Digital Twins)
Topological Data Analysis
Probabilistic Modeling (Bayesian modeling, Graphical models),
Global optimization
Non-linear estimation techniques
Time series forecasting
Scaling on distributed CPU and accelerated compute architectures

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.

Intel strongly encourages employees to be vaccinated against COVID-19. Intel aligns to federal, state, and local laws and as a contractor to the U.S. Government is subject to government mandates that may be issued. Intel policies for COVID-19 including guidance about testing and vaccination are subject to change over time.

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.