Member of Technical Staff, Contextual AI
Research
$150-300k
+ Equity
Office located in Mountain view, CA
Contextual language models for enterprise
Open for applications
Contextual language models for enterprise
21-100 employees
Open for applications
$150-300k
+ Equity
Office located in Mountain view, CA
21-100 employees
Company mission
To change the way the world works through AI.
Role
Who you are
- Bachelor's degree in Computer Science, Software Engineering, or a related field. Master's or PhD preferred
- Strong software engineering fundamentals and proven track record of building complex systems
- Strong understanding of fundamental machine learning concepts, and practical experience in language modeling, retrieval, large-scale training, or evaluation
- Research experience (academic or industry) is a strong plus, including familiarity with experimental design, analysis, and research methodology
- Strong problem-solving skills and ability to thrive in a fast-paced research environment
What the job involves
- As a Member of Technical Staff specializing in Research, you will work on cutting-edge AI research projects, contributing to advancements in Contextual RAG pipelines, including retrieval systems and language models, alignment and end-to-end training methods
- Drive research projects in areas such as language modeling, retrieval, alignment, retrieval augmented generation, end-to-end training, evaluation, etc
- Design and implement scalable infrastructure and tooling to enable efficient and effective research and development of models and systems
- Read and stay up to date with literature, latest advancements, and best practices
- Contribute to the full research pipeline from ideation to experimentation, analysis, and deployment
- Publish research papers with novel contributions to state-of-the-art research
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
Few 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.
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