Key Responsibilities:

• 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.

What we’re looking for:

• 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

Why Join Us?

• 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)