TrustLab deploys custom LLMs as part of its AI solution for Enterprise customers. We’re a fast-moving, venture-backed startup founded by senior leaders from Google, YouTube, TikTok, and Reddit, creating solutions for online safety, reputation and risk management. Our approach for human-in-the-loop AI solutions for content understanding is industry leading as a technology and business solution. We are looking for experienced and creative engineers to help us push the boundaries with emerging LLM technology applications, and leadership to deploy and scale our technology for customer use cases at scale.
At TrustLab, your work won’t live in theory - it will power live systems used at large scale. You’ll develop, tune, and optimize LLM-driven solutions that interpret and reason about complex digital content, while experimenting rapidly from design to deployment and seeing immediate feedback from real-world use cases. Partnering closely with other engineers, researchers, and product leaders, you’ll pioneer new approaches to model training and evaluation, taking ownership from early R&D through to production launches, and ensuring your work directly shapes how millions of people experience AI-powered content.
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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