PhD Research Intern, Contextual AI
Winter
$110-120k
Office located in Mountain View, CA
Contextual language models for enterprise
Be an early applicant
Contextual language models for enterprise
21-100 employees
Be an early applicant
$110-120k
Office located in Mountain View, CA
21-100 employees
Company mission
To change the way the world works through AI.
Role
Who you are
- Currently pursuing or recently completed a PhD degree in Computer Science, Artificial Intelligence, or a related field
- Strong programming skills in languages such as Python, Rust or C++
- Familiarity with machine learning frameworks and libraries, such as JAX or PyTorch
- Solid understanding of fundamental ML concepts, algorithms, and techniques
- Ability to analyze and interpret research papers and technical documentation
- Excellent problem-solving and critical-thinking abilities
- Strong written and verbal communication skills
- Proactive and self-motivated, with the ability to work independently and in a team environment
Desirable
- Prior experience in AI research or projects
- Comfort with ambiguity and resilient when facing rapid change
- Ability to communicate complex research in a clear, precise, and actionable manner
- A strong interest in empirical research and for answering hard questions with research
- Interpersonal experience: cross-group and cross-culture collaboration
- Ability to stay in touch with the literature of a particular domain and has the ability to reproduce results if needed
What the job involves
- Dates: January - March/April
- We are seeking talented and motivated interns to join our AI Research team
- As an AI Research Intern, you will work directly under the guidance of a research mentor, contributing to cutting-edge projects in the areas of artificial intelligence, and machine learning
- This is an opportunity to gain hands-on experience with working on real-world applications and expand your knowledge while having the potential to transform and leave a lasting impact on our company's technology stack
Our take
Founded by former Facebook research scientists, Contextual AI is building customisable, scalable and trustworthy Large Language Models for use by enterprises. Its main product is a tool to improve model performance so that users can build production-grade AI systems.
The backbone of this product is a technology that feeds curated information into AI models so that the LLM can have more context and up-to-date information. This helps to minimise AI “hallucinations”, an increasingly common problem for models like ChatGPT.
Contextual AI is currently working with companies in the finance, technology and media sectors. Since its impressive 2024 funding, it will no doubt seek growth, perhaps into other sectors. Either way, as AI models become more and more common in enterprise use, the future looks bright for Contextual AI.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Some candidates hear
back within 2 weeks
Company
Funding (2 rounds)
Aug 2024
$80m
SERIES A
Jun 2023
$20m
SEED
Total funding: $100m
Company benefits
- Nnovative Environment: Be part of a forward-thinking company that values creativity and innovation
- Career Growth: Opportunities for professional development and career advancement
- Collaborative Culture: Work with a talented and supportive team dedicated to excellence
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Douwe Kiela
(CEO)Previously Adjunct Professor at Stanford University, Head of Research at Hugging Face and Research Scientist at Facebook. Was also the CEO and Founder of Brainstorm IT.
Amanpreet Singh
(CTO)Previously Research Team Lead at Hugging Face, Research Engineer at Facebook AI, and Mobile Maintainer at jQuery Foundation. Was also a Software Engineering Intern at Amazon.
Salary benchmarks
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