Summer 2025 Research Intern, Together AI

• Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field
• Strong knowledge of Machine Learning and Deep Learning fundamentals
• Experience with deep learning frameworks (PyTorch, JAX, etc.)
• Strong programming skills in Python
• Strong programming skills in C++ (for kernel development)
• Familiarity with Transformer architectures and recent developments in foundation models

Desirable

• Duration: ~12 weeks (Summer 2025)
• Together AI is seeking exceptional Research Interns to join our research team for Summer 2025
• You will work on cutting-edge research in foundation model architectures and efficiency, contributing to our mission of advancing open and transparent AI systems
• Novel model architectures and architectural adaptations for foundation models
• Inference optimization algorithms and techniques (e.g., speculative decoding, quantization, sparsity, model compression, knowledge distillation)
• High-performance kernel development and optimization
• Advanced post-training optimization and finetuning methods
• New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods)
• Robust and reliable evaluation of foundation model capabilities
• Reasoning strategies and inference-time compute techniques
• Research and implement novel techniques in one or more of our focus areas
• Design and conduct rigorous experiments to validate hypotheses
• Document findings in scientific publications and blog posts
• Integrate the research results into Together products
• Communicate the plans, progress, and results of projects to the broader team

• This application will close on February 7, 2025, at 5:00 pm PT
• Resume/CV
• A cover letter that includes your preferred research areas of interest, academic transcript (unofficial is acceptable), and links to relevant projects or publication