Job summary
Job post source
This job is directly from TrustLab
Job overview
The AI Engineer at TrustLab will design and optimize LLM-based classifiers for content moderation, impacting online safety and content quality at scale.
Responsibilities and impact
The role involves developing, fine-tuning, and deploying AI models for abuse detection, improving model performance, and monitoring production systems to enhance content moderation.
Compensation and benefits
The salary range is $150,000 to $200,000 per year in Palo Alto, with competitive compensation, comprehensive benefits, and a hybrid in-office work policy.
Experience and skills
Candidates should have a Bachelor's or Master's in CS or related fields, experience with NLP, deep learning, LLMs, Python, and frameworks like TensorFlow or PyTorch; preferred skills include large-scale dataset experience, regulatory knowledge, and reinforcement learning.
Career development
The company offers ample growth opportunities as a technical contributor or manager, working with industry leaders in AI and online safety.
Work environment and culture
TrustLab promotes a collaborative environment where team members know each other but have distinct roles, supporting hybrid work and valuing innovation in AI safety.
Company information
TrustLab is a VC-backed startup founded by senior executives from Google, YouTube, TikTok, and Reddit, focusing on AI-driven content safety for major online platforms.
Job location and travel
The position is based in Palo Alto with a hybrid in-office work policy.
Unique job features
The job offers the chance to work on cutting-edge AI technology for content moderation with blue chip customers and industry leaders.
Company overview
TrustLab is a company focused on providing cybersecurity solutions, specializing in trust and safety technologies to protect digital environments. They generate revenue by offering services such as risk assessment, threat detection, and security management to businesses seeking to safeguard their online platforms and data. TrustLab has established itself as a key player in the cybersecurity industry, leveraging advanced technologies and a team of experts to deliver comprehensive security solutions. Their commitment to innovation and excellence has positioned them as a trusted partner for organizations aiming to enhance their digital security infrastructure.
How to land this job
Position your resume to highlight expertise in AI model design, especially with LLMs like GPT, BERT, and T5, emphasizing experience in content moderation and classification tasks.
Focus on showcasing skills in fine-tuning transformer models, proficiency in Python, and deep learning frameworks such as TensorFlow or PyTorch, along with knowledge of evaluation metrics like F1-score and precision-recall curves.
Apply through multiple channels including TrustLab’s official corporate career site and LinkedIn to maximize your application visibility and ensure it reaches the right hiring teams.
Connect with AI and content moderation team members at TrustLab on LinkedIn; start conversations by referencing recent TrustLab projects on AI safety or asking about their experience working with LLMs in content moderation.
Optimize your resume for ATS by incorporating keywords from the job description such as ‘LLM fine-tuning,’ ‘content moderation,’ ‘reinforcement learning,’ ‘Python,’ and ‘deep learning frameworks’ to pass automated screenings effectively.
Use Jennie Johnson’s Power Apply feature to automate tailored applications, identify multiple application portals, and find relevant LinkedIn contacts, freeing you to focus on interview preparation and skill enhancement.
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