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About the Role

As a Research Intern in the Model Shaping team, you will work on advanced post-training methods, new techniques for efficient neural network training, and robust evaluation of foundation model capabilities. The Model Shaping team focuses on tailoring open foundation models to downstream applications, developing services for model selection and improvement, and creating new methods for efficient model training and evaluation.

Responsibilities

Research and implement novel techniques in one or more of our focus areas
Design and conduct rigorous experiments to validate hypotheses
Document findings in scientific publications and blog posts
Integrate the research results into Together products

Requirements

Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field
Strong knowledge of Machine Learning and Deep Learning fundamentals
Experience with deep learning frameworks (PyTorch, JAX, etc.)
Familiarity with the Transformer architecture and recent developments in foundation models

Skills

Machine Learning
Deep Learning
PyTorch
JAX
Transformer architecture
Foundation models

Location

San Francisco
Amsterdam

Work Type

Internship
Full-time

Experience Level

Intern

Education Level

Bachelor's degree
Master's degree
Ph.D. degree

Salary/Compensations

$58 to $63 per hour

Benefits

Housing stipends

About the Company

Together AI is a research-driven artificial intelligence company.
We believe open and transparent AI systems will drive innovation and create the best outcomes for society.
Our mission is to significantly lower the cost of modern AI systems by co-designing software, algorithms, and models.
We have contributed to leading open-source research, models, and datasets to advance the frontier of AI.
Our team has been behind technological advancements such as FlashAttention, Mamba, FlexGen, SWARM Parallelism, Mixture of Agents, and RedPajama.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.