The Research Scientist will be an integral part of Oumi's research team, focusing on advancing the state-of-the-art in large language models (LLMs), vision language models (VLMs), and related technologies. This role involves conducting cutting-edge research, contributing to open-source projects, and collaborating with other researchers and engineers. Researchers at Oumi will work on various aspects of LLM/VLM development including training, evaluation, data curation, and benchmark development.
What you'll do:
Conduct research on training and evaluating new Large language models (LLMs), Vision Language Models (VLMs), and other AI models. This includes exploring new architectures, training techniques, and optimization methods.
Develop methodologies for curating high-quality datasets for training and evaluating LLMs. This may involve data synthesis and other novel techniques.
Develop evaluation benchmarks to measure the performance of LLMs across various tasks and domains.
Design and conduct experiments to validate research hypotheses and improve model performance.
Contribute to the Oumi open-source platform, models and projects, and other relevant tools and libraries.
Collaborate with other researchers, engineers, and the broader community to advance the field of open-source AI.
Publish research findings in leading conferences and journals.
Evaluate existing models and identify areas of improvement.
Work with various models, including text and multimodal models, and both open and closed models.
Focus on the research that matters by skipping the plumbing and moving straight to research, building on the work of others and contributing back.
What you'll bring:
A Ph.D. or MSc. in computer science, machine learning, artificial intelligence, or a related field is preferred. Candidates with a strong publication record, or equivalent industry experience will be considered.
Demonstrated experience in conducting original research in machine learning, with a strong publication record in top-tier conferences or journals.
Deep understanding of machine learning and deep learning concepts, with specific knowledge of large language models (LLMs) and/or vision language models (VLMs).
Strong programming skills in Python and experience using deep learning frameworks (e.g. PyTorch).
Familiarity with open-source projects and a passion for contributing to the open-source community.
A self-starter who can work independently and take ownership of initiatives.
Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.
Benefits:
Equity in a high-growth startup
Comprehensive health, dental and vision insurance
21 days PTO
Regular team offsites and events
Location:
Hybrid work environment, with offices in:
San Mateo, CA
Seattle, WA
New York, NY
Oumi Research Scientist
The Research Scientist will be an integral part of Oumi's research team, focusing on advancing the state-of-the-art in large language models (LLMs), vision language models (VLMs), and related technologies. This role involves conducting cutting-edge research, contributing to open-source projects, and collaborating with other researchers and engineers. Researchers at Oumi will work on various aspects of LLM/VLM development including training, evaluation, data curation, and benchmark development.
What you'll do:
Conduct research on training and evaluating new Large language models (LLMs), Vision Language Models (VLMs), and other AI models. This includes exploring new architectures, training techniques, and optimization methods.
Develop methodologies for curating high-quality datasets for training and evaluating LLMs. This may involve data synthesis and other novel techniques.
Develop evaluation benchmarks to measure the performance of LLMs across various tasks and domains.
Design and conduct experiments to validate research hypotheses and improve model performance.
Contribute to the Oumi open-source platform, models and projects, and other relevant tools and libraries.
Collaborate with other researchers, engineers, and the broader community to advance the field of open-source AI.
Publish research findings in leading conferences and journals.
Evaluate existing models and identify areas of improvement.
Work with various models, including text and multimodal models, and both open and closed models.
Focus on the research that matters by skipping the plumbing and moving straight to research, building on the work of others and contributing back.
What you'll bring:
A Ph.D. or MSc. in computer science, machine learning, artificial intelligence, or a related field is preferred. Candidates with a strong publication record, or equivalent industry experience will be considered.
Demonstrated experience in conducting original research in machine learning, with a strong publication record in top-tier conferences or journals.
Deep understanding of machine learning and deep learning concepts, with specific knowledge of large language models (LLMs) and/or vision language models (VLMs).
Strong programming skills in Python and experience using deep learning frameworks (e.g. PyTorch).
Familiarity with open-source projects and a passion for contributing to the open-source community.
A self-starter who can work independently and take ownership of initiatives.
Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.
Benefits:
Equity in a high-growth startup
Comprehensive health, dental and vision insurance
21 days PTO
Regular team offsites and events
Location:
Hybrid work environment, with offices in:
San Mateo, CA
Seattle, WA
New York, NY
What You'll Do
Conduct research on training and evaluating new Large language models (LLMs), Vision Language Models (VLMs), and other AI models. This includes exploring new architectures, training techniques, and optimization methods.
Develop methodologies for curating high-quality datasets for training and evaluating LLMs. This may involve data synthesis and other novel techniques.
Develop evaluation benchmarks to measure the performance of LLMs across various tasks and domains.
Design and conduct experiments to validate research hypotheses and improve model performance.
Contribute to the Oumi open-source platform, models and projects, and other relevant tools and libraries.
Collaborate with other researchers, engineers, and the broader community to advance the field of open-source AI.
