Senior AI Engineer, Trust Lab
LLM - Based Content Moderation
$180-250k
2-3 days a week in office (Palo Alto, CA)
Online security solution
Job no longer available
Online security solution
21-100 employees
Job no longer available
$180-250k
2-3 days a week in office (Palo Alto, CA)
21-100 employees
Company mission
To make the internet a safer place.
Role
Who you are
- 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
What the job involves
- 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
Our take
The internet is often an equally incredible and terrifying place, with the vast amount of information that can be found beyond what we imagined. Online security and safety is most definitely something that users worry about. Trust Lab is a web security platform developer looking to create a safer internet for everyone.
The company looks to support its clients by mitigating customer risks within their business. The solution aids the reduction of things like misinformation and hate speech. Trust Lab is now the security provider for some of the largest online marketplaces, social media platforms and more, including the likes of the University of Michigan.
Founded in 2019, the company has grown an impressive list of partnerships. More recently, it entered a strategic partnership with In-Q-Tel, the U.S. intelligence community’s venture capital arm, where Trust Labs technology will be leveraged to look into crucial internet trends and narratives that could impact national security. The work Trust Labs is fronting is most definitely called for in this day and age and it’s exciting to see the number of impactful partnerships taking place the ocompany is taking on.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Jun 2023
$15m
SERIES A
Total funding: $15m
Company HQ
SoMa, San Francisco, CA
Leadership
Tom Siegel
(Co-Founder & CEO)Co-founder and President for the Fishbowl Challenge. Worked for several years at Google and through several roles including Vice President of Trust & Safety and an Advisor.
Benji Loney
(Co-Founder & President)Previously Chief of Staff at Reddit, Director, Global Community Development Strategy at ByteDance and VR/AR Ads Marketplace Launch + Growth at OmniVirt.
Shankar Ponnekanti
(Co-Founder)Worked for 14 years as a Distinguished Engineer at Google.
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