Applied Scientist Intern (Audio Language Modeling)
Reality DefenderSalary not specified
- Full Time
- Internship
Not SpecifiedCompensation
InternshipExperience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Research & DevelopmentIndustries
Requirements
Candidates must be currently pursuing, or in the process of obtaining, a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline, and be eligible for work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout the internship period. Experience using large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state of the art ML models is preferred, as well as familiarity with autoregressive sequence models, such as Transformers.
Responsibilities
As a Cohere Research Intern, you will conduct cutting-edge machine learning research, building and training large language models, focusing on research projects aimed at expanding the frontier of knowledge in language modelling and associate areas such as evaluation, multimodal models, optimisation etc., disseminate your research results through the production of publications, datasets, and code, and contribute to research initiatives that have practical applications in Cohere’s product development.
Skills
Large-scale distributed training
Data annotation
Evaluation pipelines
State-of-the-art ML models
Transformers
Language modeling
Multimodal models
Optimization
Research dissemination
Cohere
Provides NLP tools and LLMs via API
About Cohere
Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.
Key Metrics
Toronto, CanadaHeadquarters
2019Year Founded
$914.4MTotal Funding
SERIES_DCompany Stage
AI & Machine LearningIndustries
501-1,000Employees