DatabricksSan Francisco, CAPhD intern researches and develops techniques to adapt LLMs and AI systems for enterprise domains, including method design, evaluation, and efficient post-training. Requires deep learning proficiency, PyTorch skills, and ongoing PhD studies.
Research intern focused on advancing domain adaptation for LLMs and AI systems in enterprise contexts, tackling challenges like scaling evaluations, synthetic data fine-tuning, retrieval augmentation, and efficient inference.
Required:
University students contribute to generative AI projects like model training and failure mode identification, participate in focus groups, and collaborate on team challenges. Requires STEM enrollment, coding proficiency, and competitive programming experience; fully remote with flexible hours.
Predoctoral Young Investigator role on the AllenNLP team at Ai2, collaborating on open language models and NLP research. Ideal for recent bachelor's/master's graduates preparing for PhD programs, involving mentorship, cutting-edge research, and co-authoring papers.
Research intern on the Agents team building and aligning frontier AI systems for complex agentic and scientific tasks. Focus on post-training methods, evaluation frameworks, self-learning, and scalable agent infrastructure.
Conducts cutting-edge research in 3D vision, reconstruction, and generation for autonomous driving and robotics, publishes at top conferences, and deploys algorithms to production systems. Requires MSc/PhD in ML/CV, strong publication record, and expertise in Python, PyTorch, CV, and robotics.
Conducts research on world-action foundation models for robotics and autonomous driving, focusing on 3D vision, multi-modal pretraining, and Gaussian splatting. Requires MSc/PhD in ML/CV, strong publication record, and expertise in Python/PyTorch.