Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)

- PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate). - Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization. - Experience working with large-scale data and ML systems, whether through research or industry internships. - Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. - A track record of rigorous, high-quality research (publications at top venues are a strong signal). - Strong written and verbal communication skills.