Machine Learning Research Intern
IdeogramSalary not specified
Part Time
Entry Level & New Grad
Not SpecifiedCompensation
Entry Level & New GradExperience Level
Full TimeJob Type
UnknownVisa
Artificial IntelligenceIndustries
Requirements
- Currently pursuing, or in the process of obtaining, a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline. We will also consider exceptional non-PhD candidates
- 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
- Familiar with autoregressive sequence models, such as Transformers
- Strong communication and problem-solving skills with the ability to convey complex research findings clearly and succinctly
- Knowledge of programming languages such as Python, C, C++, Lua, or related languages
- Knowledge of ML frameworks such as JAX, PyTorch, and TensorFlow
- Previous experience in building systems based on machine learning and deep learning techniques
- Demonstrate passion for applied NLP models and products
- Preferred qualifications: demonstrated expertise through publications in top-tier venues in ML, NLP, AI, CV, optimization, CS, statistics, applied math, or data science; proven ability to tackle analytical problems using quantitative methodologies; proficiency in handling and analyzing complex, high-dimensional data; experience applying theoretical and empirical research to real-world problem-solving
Responsibilities
- Conduct cutting-edge machine learning research, building and training large language models
- Focus on research projects aimed at expanding the frontier of knowledge in language modelling and related areas such as evaluation, multimodal models, and optimization
- Disseminate research results through the production of publications, datasets, and code
- Contribute to research initiatives that have practical applications in Cohere’s product development
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
Is this research internship remote?
Yes, the internship is fully remote.
What is the duration of the internship?
The internship is full-time and lasts for 4-6 months.
What are the eligibility requirements for this internship?
You must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline, be available full-time for 4-6 months, and have work authorization in the country of employment.
What skills and experience are required for the research intern role?
Required skills include experience with large-scale distributed training, data annotation and evaluation pipelines, or state-of-the-art ML models; familiarity with autoregressive sequence models like Transformers; proficiency in Python, C, C++, Lua or similar; and strong communication and problem-solving skills.
What is the company culture like at Cohere?
Cohere obsesses over what they build, works hard and moves fast to serve customers, and consists of top experts in research, engineering, and design who value diverse perspectives.
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.
Toronto, CanadaHeadquarters
2019Year Founded
$914.4MTotal Funding
SERIES_DCompany Stage
AI & Machine LearningIndustries
501-1,000Employees