We are seeking an experienced Staff AI Engineer to join our Trust AI Platforms & Foundations team in a crucial technical leadership role. Our team's primary mission is to establish standardized tools, platforms, and algorithms to serve various trust-focused teams, including the Anti-abuse AI team, annotation and review tools, and sampling platforms team. Your role will involve spearheading the strengthening of our AI foundation space by harnessing, tailoring, and innovating cross-functional solutions to augment the performance of our current AI solutions.
Responsibilities
- Lead the team to deliver state-of-the-art solutions for complex problems to keep members safe on the platform.
- Drive technical roadmap and architecture for foundational technology across the Trust organization.
- Align on product and technology strategy related to Trust issues across functions and organizations across LinkedIn.
- Build a culture of craftsmanship and innovation, and mentor the next generation of engineering leaders.
Basic Qualifications
- MS/PhD Degree in Computer Science or related technical discipline or equivalent practical experience.
- 10+ years' experience in machine learning, artificial intelligence, and ML algorithm-related solutions.
- 5+ years in an architect or technical leadership position.
- Domain expertise in deep learning, Generative AI, and large language models.
- Experience in large-scale machine learning modeling and end-to-end model development life cycle.
Preferred Qualifications
- Experience in pre-training/fine-tuning large language models, including the recent generative set models.
- Expertise in machine learning, data mining, security data science, advanced statistics, internationalization, information retrieval, or Generative AI.
Suggested Skills
- Machine Learning
- Generative AI
- Communication
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