Machine Learning Research Scientist (1 Year Fixed Term)
Stanford University
Stanford, CA
1 day ago
$156,560 - $180,039
Job Description
Join the Enigma Project at Stanford University to explore the intersection of AI and neuroscience. This role offers the opportunity to lead cutting-edge research in multimodal deep learning and contribute to groundbreaking insights into brain function.
Key Responsibilities
Design and implement large-scale multimodal deep learning architectures
Develop novel computational approaches for training and optimizing frontier models
Provide technical leadership in distributed training systems and model optimization techniques
Guide cross-functional teams in establishing technical frameworks and evaluation metrics
Communicate research findings through publications, presentations, workshops and research blogs
Stay ahead of the latest developments in machine learning and neuroscience
Required Qualifications
Ph.D. in Computer Science, Machine Learning, Computational Neuroscience, or related field plus 2+ years post-Ph.D. research experience
At least 2+ years of practical experience in training, fine-tuning, and using multi-modal deep learning models
Strong publication record in top-tier machine learning conferences and journals
Strong programming skills in Python and deep learning frameworks
Demonstrated ability to lead research projects and mentor others
Ability to work effectively in a collaborative, multidisciplinary environment
Preferred Qualifications
Background in theoretical neuroscience or computational neuroscience
Experience in processing and analyzing large-scale, high-dimensional data of different sources
Experience with cloud computing platforms (e.g., AWS, GCP, Azure)
Familiarity with big data and MLOps platforms (e.g. MLflow, Weights & Biases)
Familiarity with training, fine tuning, and quantization of LLMs or multimodal models
Experience with large-scale distributed model training frameworks (e.g. Ray, DeepSpeed, HF Accelerate, FSDP)
Benefits & Perks
Access to unique datasets spanning artificial and biological neural networksState-of-the-art computing infrastructureCompetitive salary and benefits packageCollaborative environment at the intersection of multiple disciplinesStrong mentoring in career development