Machine Learning Engineer, Contextual AI
$150-400k
+ 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
$150-400k
+ 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
- Detailed knowledge of machine learning concepts and frameworks. Language Models and NLP experience is a plus
- Strong Proficiency in programming languages such as Python, JavaScript, or Java and in backend software development
- Experience with cloud platforms, such as AWS, Azure, or GCP, and familiarity with deploying applications on the cloud
- Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment
- Excellent communication and interpersonal skills, with the ability to work closely with cross-functional teams
What the job involves
- As a Member of Technical Staff specializing in Applied Research, you will work on state of the art research and applying that to production systems for RAG 2.0 (Contextual Language Models + Fine Tuning + Alignment)
- Work on and do research in state-of-the-art retrieval augmented language models as well as fine tuning and preference alignment
- Collaborate closely with ML researchers, product managers, and designers to understand requirements and translate them into technical solutions
- Integrate this research into the product through Software Development
- Architect and build scalable and efficient backend services, APIs, and databases to support the platform's functionality and performance requirements
- Ensure seamless integration with machine learning models and pipelines, enabling efficient model deployment and management
- Collaborate with cross-functional teams to continuously improve the platform's functionality, usability, and user experience
- Stay up-to-date with industry best practices, emerging technologies, and advancements in machine learning and software development
- Mentor and provide technical guidance to junior team members, promoting knowledge sharing and professional growth
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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