Intel
Job Details
Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone.
The Applied Machine Learning group is responsible for innovation and development of end-to-end AI solutions, technology proof of concepts, and IP development of current and future ML workloads for Intel architecture and silicon serving consumer and corporate business requirements. In this position, you will be responsible for research, modeling, prototyping, productizing of ML techniques, generating data insights and optimizations for Intel platforms.
Responsibilities
Build machine learning based products/solutions, which provide descriptive, diagnostic, predictive, or prescriptive models based on data.
Use or develop machine learning algorithms, such as supervised and unsupervised learning, deep learning, reinforcement learning, generative AI, large language model and others, to solve applied problems in various disciplines such as Data Analytics, Computer Vision, Natural Language Processing, Recommendation System, Graph Neural Network, Robotics, etc.
Interact with users to define requirements for breakthrough product/solutions. In either research environments or specific product environments, utilize current programming methodologies to translate machine learning models and data processing methods into software.
Complete programming, testing, debugging, documentation and/or deployment of the solution/products.
Engineer big data computing frameworks, data modeling and other relevant software tools.
You will play a key technical role for end‑to‑end machine learning and deep learning platform development based on various frameworks and hardware (such as CPU, GPU, accelerators). You will also be responsible for developing AI ML solutions and methodologies to bring the best performance, accuracy, efficiency, and ease‑of‑use to customers by working with internal and external partners.
Job Scope
End‑to‑end ML and DL platform component innovation and feature development in data ingestion, feature engineering, distributed training via data and model parallelization, hyper‑parameter optimization, neural architecture search, model compression, quantization, distillation, and model serving.
Algorithm and model development of advanced technologies in computer vision, natural language processing, large language model, recommendation, graph analytics, reinforcement learning, and other domains; Machine learning framework and workload performance profiling, optimization, insights generation for benchmark such as MLPerf as well as real‑world customer use cases.
Software and tools development in python, C++, and other languages as required.
Behavioral Traits
Excellent written and oral communication skills including technical details and concepts.
Qualifications Minimum Qualifications
Bachelor’s degree, Master degree or Ph.D in Computer Engineering, Computer Science, Data Science, Software Engineering, Electronic Engineering, Physics, Mathematics, Aerospace engineering, applied mathematics, mechanical engineering, or related technical disciplines.
1+ years’ experience in deep learning foundational frameworks such as PyTorch, Hugging Face, TensorFlow on CPU, GPU, or AI accelerators.
1+ years’ experience in GenAI frameworks such as transformers, PEFT, diffusers, TGI, TEI, vLLM or SGLang.
Preferred Qualifications
GenAI end‑to‑end workflow development and deployment for model serving, RAG, and agentic system.
Inference optimization for deployment.
Patents, publications, or technical reports on GenAI innovation.
Benefits Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals. Go to Intel Benefits | Intel Careers for details of benefits available to you. Intel reserves the right to modify, change or discontinue benefit plans at any time in its sole discretion.
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.
Salary Annual Salary Range for jobs which could be performed in the US: $133,410.00-237,310.00 USD. The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations.
Work Model This role will require an on-site presence.
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The Applied Machine Learning group is responsible for innovation and development of end-to-end AI solutions, technology proof of concepts, and IP development of current and future ML workloads for Intel architecture and silicon serving consumer and corporate business requirements. In this position, you will be responsible for research, modeling, prototyping, productizing of ML techniques, generating data insights and optimizations for Intel platforms.
Responsibilities
Build machine learning based products/solutions, which provide descriptive, diagnostic, predictive, or prescriptive models based on data.
Use or develop machine learning algorithms, such as supervised and unsupervised learning, deep learning, reinforcement learning, generative AI, large language model and others, to solve applied problems in various disciplines such as Data Analytics, Computer Vision, Natural Language Processing, Recommendation System, Graph Neural Network, Robotics, etc.
Interact with users to define requirements for breakthrough product/solutions. In either research environments or specific product environments, utilize current programming methodologies to translate machine learning models and data processing methods into software.
Complete programming, testing, debugging, documentation and/or deployment of the solution/products.
Engineer big data computing frameworks, data modeling and other relevant software tools.
You will play a key technical role for end‑to‑end machine learning and deep learning platform development based on various frameworks and hardware (such as CPU, GPU, accelerators). You will also be responsible for developing AI ML solutions and methodologies to bring the best performance, accuracy, efficiency, and ease‑of‑use to customers by working with internal and external partners.
Job Scope
End‑to‑end ML and DL platform component innovation and feature development in data ingestion, feature engineering, distributed training via data and model parallelization, hyper‑parameter optimization, neural architecture search, model compression, quantization, distillation, and model serving.
Algorithm and model development of advanced technologies in computer vision, natural language processing, large language model, recommendation, graph analytics, reinforcement learning, and other domains; Machine learning framework and workload performance profiling, optimization, insights generation for benchmark such as MLPerf as well as real‑world customer use cases.
Software and tools development in python, C++, and other languages as required.
Behavioral Traits
Excellent written and oral communication skills including technical details and concepts.
Qualifications Minimum Qualifications
Bachelor’s degree, Master degree or Ph.D in Computer Engineering, Computer Science, Data Science, Software Engineering, Electronic Engineering, Physics, Mathematics, Aerospace engineering, applied mathematics, mechanical engineering, or related technical disciplines.
1+ years’ experience in deep learning foundational frameworks such as PyTorch, Hugging Face, TensorFlow on CPU, GPU, or AI accelerators.
1+ years’ experience in GenAI frameworks such as transformers, PEFT, diffusers, TGI, TEI, vLLM or SGLang.
Preferred Qualifications
GenAI end‑to‑end workflow development and deployment for model serving, RAG, and agentic system.
Inference optimization for deployment.
Patents, publications, or technical reports on GenAI innovation.
Benefits Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals. Go to Intel Benefits | Intel Careers for details of benefits available to you. Intel reserves the right to modify, change or discontinue benefit plans at any time in its sole discretion.
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.
Salary Annual Salary Range for jobs which could be performed in the US: $133,410.00-237,310.00 USD. The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations.
Work Model This role will require an on-site presence.
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