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Stanford University · 2 months ago

Machine Learning Research Scientist (1 Year Fixed Term)

Stanford, CA

Full-time

Onsite

Senior Level

$157K/yr - $180K/yr

5+ years exp

Stanford University is a leading research institution dedicated to understanding natural intelligence through artificial intelligence. The Machine Learning Research Scientist will design and implement large-scale multimodal deep learning architectures and guide teams in establishing frameworks for brain foundation models, contributing to the project’s goal of aligning AI models with human-like neural representations.

EducationHigher EducationUniversities

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Design and implement large-scale multimodal deep learning architectures that relate sensory inputs to neuronal correlates of perception, action, and cognition

Develop novel computational approaches for training and optimizing frontier models on unprecedented amounts of neural data

Provide technical leadership in distributed training systems and model optimization techniques

Guide cross-functional teams in establishing technical frameworks and evaluation metrics for brain foundation models

Communicate research findings through publications, presentations, workshops and research blogs

Stay ahead of the latest developments in machine learning and neuroscience, and propose innovative solutions to advance the project's goals

Qualification

Deep LearningMultimodal ModelsPythonCloud ComputingMLOpsNeuroscienceProject LeadershipCollaborationMentoring

Required

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, particularly in areas related to multi-modal modeling

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

Bachelor's degree and five years of relevant experience, or combination of education and relevant experience

Expert knowledge of the principles of engineering and related natural sciences

Demonstrated project leadership experience

Demonstrated experience leading and/or managing technical professionals

Preferred

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) and their machine learning services

Familiarity with big data and MLOps platforms (e.g. MLflow, Weights & Biases)

Familiarity with training, fine tuning, and quantization of LLMs or multimodal models using common techniques and frameworks (LoRA, PEFT, AWQ, GPTQ, or similar)

Experience with large-scale distributed model training frameworks (e.g. Ray, DeepSpeed, HF Accelerate, FSDP)

Benefits

A rich environment in which to pursue fundamental research questions in AI and neuroscience

A dynamic team of engineers and scientists in a project dedicated to one mission, rooted in academia but inspired by science in industry.

Access to unique datasets spanning artificial and biological neural networks

State-of-the-art computing infrastructure

Competitive salary and benefits package

Collaborative environment at the intersection of multiple disciplines

Location at Stanford University with access to its world-class research community

Strong mentoring in career development

Company

Stanford University

Glassdoor4.3

Stanford University is a teaching and research university that focuses on graduate programs in law, medicine, education, and business.

Founded in 1885

Stanford, California, USA

10001+ employees

http://www.stanford.edu

H1B Sponsorship

Stanford University has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2020 (12)