Efficient ML Engineer Research Intern, (AI Platform) - 2026 Start (PhD)
San Jose, California, United States
USD 136K-205K (estimate) Entry-level Internship
Tasks
- Apply knowledge distillation
- Develop algorithm acceleration technologies
- Enhance model inference efficiency
- Identify performance bottlenecks
- Implement parameter efficient design
- Improve autoregression model efficiency
- Optimize diffusion model sampling
- Optimize vision models
- Redesign model architecture
Perks/Benefits
Skills/Tech-stack
Algorithm Optimization | Autoregressive models | Computer Vision | Diffusion Models | Efficient Fine Tuning | Fine Tuning | Knowledge Distillation | Latent Optimization | Low-bit quantization | Machine Learning | Mixture of Experts | Model Architecture | Model Inference | Parameter efficient fine-tuning | Sampling Optimization | Sparse attention
Education
Roles
Engineer | Intern | Learning Engineer | ML Engineer | Machine Learning Engineer | Research Intern
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