Together AISan Francisco, CAResearch intern on the Inference team building efficient serving systems for large foundation models. Focus on distributed inference, compiler-aware optimization, and novel inference-time strategies.
Research intern on the Model Shaping team working on post-training methods, efficient neural network training, and foundation model evaluation. Requires strong ML fundamentals and PyTorch/JAX experience.
Intern developing and optimizing GPU-accelerated kernels for ML/AI applications. Requires strong GPU programming background (CUDA/Triton) and knowledge of performance optimization.
Early-career Quantitative Researcher developing ML models and trading signals to predict asset movements and build market-neutral portfolios. Requires STEM degree, Python fluency, and passion for machine learning; embedded in Alpha, Data Science, or Strategy teams.
Build and deploy reinforcement learning models to autonomously control mineral refining facilities, optimizing recovery rates, energy use, and uptime in real operating plants.
Founding AI Engineer building and shipping production-grade computer vision, LLM, and multimodal models for real-world construction documents at an early-stage startup.