Intel's 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.
Requirements
- Experience in deep learning frameworks such as PyTorch, TensorFlow, working on CPU / GPU / AI accelerators for ML/DL.
- Experience in GenAI frameworks such as transformers, PEFT, diffusers, TGI, TEI, vLLM or SGLang for both training finetuning and inference serving.
- Working with Performance optimization / tuning.
- Experience in computer vision, recommendation, natural language processing, or reinforcement learning.
- Experience on performance optimization for PyTorch framework, MLPerf benchmark and other SOTA workload.
- Distributed training, DeepSpeed, Torch DDP and FSDP, Ray SGD.
- Inference optimization such as quantization, sparsity, distillation.GenAI end-2-end workflow development and deployment for model serving, RAG and agent system.
Responsibilities
- 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, 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.
- 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.
- You will play a key technical role for end-2-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.
Other
- Interacts with users to define requirements for breakthrough product/solutions.
- Excellent communication skills.
- Willing to clearly communicate technical details and concept.
- Master´s degree with 4+ years or Ph.D. with 2+ years of experience in: Computer Engineering, Computer Science, Data Science, Software Engineering, Electronic Engineering, Physics, Mathematics, Aerospace engineering, applied mathematics, mechanical engineering, or related STEM disciplines
- Proven track record of a leadership role in machine learning, deep learning research and applications demonstrated by patents, publications, product delivery, or other means.
