Machine Learning Engineer at Capital One responsible for productionizing ML applications in Agile teams. Focused on ML architectural design, coding, and maintaining high availability of models.
About the role
- Machine Learning Systems Research Intern at Red Hat working on AI inference and model optimization techniques. Collaborating with experts in the field while gaining hands-on experience in applied ML research.
Responsibilities
- Research and implement techniques for LLM inference and LLM optimizations.
- Conduct experiments to evaluate the impact of optimization methods on model accuracy, latency, and throughput.
- Collaborate with researchers and engineers to integrate optimizations into real-world machine learning workflows.
- Document findings and contribute to technical reports, blog posts, or research publications.
Requirements
- Currently pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Machine Learning, or a related field
- Strong programming skills in C++, CUDA, and Python
- Experience with tensor math libraries such as PyTorch
- Familiarity with AI model optimization techniques such as quantization (e.g., INT4, FP8), pruning, and knowledge distillation
- Deep understanding and experience in GPU performance optimizations
- Excellent knowledge of large language model architectures
- Strong analytical and problem-solving skills
- Excellent communication skills and ability to work in a team-oriented research environment
- Background in efficient inference techniques for large-scale language models or computer vision models
- Prior experience contributing to open-source ML frameworks or research publications
- 1 or more co-authored papers at a top tier conference like NeurIPS, ICLR, ACL, CVPR, MLSys is a big plus.
Benefits
- Competitive stipend
- Mentorship from leading experts in machine learning and model efficiency
- Opportunity to contribute to research papers, patents, or open-source projects
- Flexible work arrangements
Job title
Job type
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Not specified
Degree requirement
Tech skills
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