Job DescriptionWorks as an individual contributor to design, develop, execute, and implement scientific research projects to fuel Intel's growth in the areas of AI and computing. Develops machine learning algorithms, such as supervised and self-supervised learning, deep learning, reinforcement learning, Bayesian analysis, as well as neuromorphic-inspired and brain-inspired methods to solve applied problems in various disciplines such as Cognitive AI, Computer Vision, Audio, Natural Language Processing, Robotics, etc. Investigates the feasibility of applying scientific principles and concepts to potential inventions and products typically 5+ years prior to landing on a product roadmap. Plans and executes laboratory research. Maintains substantial knowledge of state-of-the-art principles and theories. Contributes to scientific literature and conferences via paper publications. May participate in development of intellectual property. May coordinate interdepartmental activities and research efforts with universities, AI startups, and enterprise customers.QualificationsYou must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork and/or classes and/or research and/or relevant previous job and/or internship experiences.Minimum Qualifications:
The candidate must possess a Master's degree or PhD degree in Computer Science, Electrical and Computer Engineering, Electrical Engineering, or a related field.1+ years of experience in below areas:
Natural Language Processing (NLP)
Computer vision and/or multimodal systemsPreferred Qualifications:
Demonstrated ability to drive state-of-the-art AI research with publications in Tier-1 venues such as AAAI, NeurIPS, ICLR, ACL, CVPR, ICML, EMNLP, ICCV, ECCV
Experience with Multimodal AI Systems including but not limited to multimodal transformers, multimodal language models, diffusion models, speech, and audio models.
Experience with structured and unstructured knowledge resources (e.g., knowledge graphs, document repositories) and their integration with transformer architectures.
Expertise in Python and Python libraries for ML: PyTorch, JAX, DeepSpeed, PyTorch Lightning
HW implementation of AI acceleration (eg: writing high performance CUDA/C- kernels)
Optimization algorithms for distributed machine learning (eg: experience with algorithms such as ZeRO, elastic or asynchronous distributed training)Inside this Business GroupEnable 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.Other LocationsUS, OR, Hillsboro; US, CA, Santa ClaraPosting StatementAll 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.BenefitsWe 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://jobs.intel.com/en/benefits)Annual Salary Range for jobs which could be performed in US, California: $186,552.00-$279,772.00Salary range dependent on a number of factors including location and experienceWorking ModelThis 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.