Our mission is to make the internet safer and more enjoyable for everyone. We combine state of the art AI technology and human judgment for best in class content detection, harm mitigation and safety monitoring. We are a VC-backed startup, founded by senior Google, YouTube, TikTok and Reddit executives, working with some of the world’s largest online platforms, and fast-moving startups. If you are looking for an opportunity to apply AI technology to real-world business use cases at a significant scale, and an opportunity to shape the future of how we can safely enjoy user generated online content, we’d love to hear from you.
As a Senior AI Engineer with expertise in Large Language Models (LLMs) you will design, build and tune industry leading classifiers for digital content. You will be one of the key platform architects for training, evaluating, and monitoring new and improved LLMs and other algorithmic models. In this role, you will develop the infrastructure for efficient experimentation, as well as product deployment on our cloud based infrastructure. You will be an integral part of a team developing R&D for groundbreaking new approaches that combine human judgement and LLM reasoning to elevate the industry’s approach to content understanding and moderation.
Train, evaluate, and monitor new and improved LLMs and other algorithmic models
Test and deploy content moderation models in production, and iterate based on real-world performance metrics and feedback loops.
Develop medium to long-term vision for content understanding-related R&D, working with management, product, policy & operations, and engineering teams.
Take ownership of results delivered to customers, pushing for change in approach where needed and taking the lead on cross-functional execution.
Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Ph.D. is a plus. Proficiency in Python. Experience with AWS and CI/CD processes & tools is a strong plus.
Experience with prompt-engineering techniques and familiarity with multiple LLM providers.
Several years of industry experience in NLP / Computer Vision, or making LLM’s work in production for non-trivial use cases, incl. strong familiarity with evaluation metrics for classification tasks and best practices for handling imbalanced datasets.
Hands-on experience with debugging issues in production environments, especially on AWS.
Impressive track record delivering results under time and resource pressure
Work with a group of renown industry leaders in AI and Online Safety to shape the future of the industry.
Ample opportunity and support for growth, as a technical individual contributor, or manager.
Apply AI technology to real-world business use cases at a significant scale, with blue chip customers
Work as part of a team where you can know everyone, but don’t have to do everyone’s job.
Competitive compensation, comprehensive benefits, and hybrid in-office policy.
Pay range is specific to the U.S. – Bay Area; compensation may differ by region.
The pay range for this role is:
150,000.00 - 250,000.00 USD per year (Palo Alto)
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