Job Title. Senior Staff AI Engineer - Trust AI Platforms & Foundations
About the Job
LinkedIn, the platform dedicated to empowering professionals worldwide, is seeking a seasoned Senior Staff AI Engineer to assume a pivotal role within our Trust AI Platforms & Foundations team. This team focuses on establishing standardized tools, platforms, and algorithms to support various trust-focused initiatives, including Anti-abuse AI, annotation and review tools, and sampling platforms.
Responsibilities
- Innovation Leadership: Lead the team in delivering state-of-the-art solutions to address complex challenges and ensure the safety of platform members.
- Collaboration and Alignment: Demonstrate strong ownership and collaboration skills, fostering alignment across horizontal and vertical teams. Drive consensus, domain adaptation, and alignment.
- Technical Roadmap: Drive the technical roadmap and architecture for foundational technology across the Trust organization.
- Product and Technology Strategy: Align on product and technology strategy related to Trust issues across functions and organizations within LinkedIn.
- Cultural Leadership: Lead by example to cultivate a culture of craftsmanship and innovation. Mentor the next generation of engineering leaders.
Basic Qualifications
- MS/PhD Degree in Computer Science or related technical discipline, or equivalent practical experience.
- 14+ 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.
- 14+ years of experience in large-scale machine learning modeling both in terms of operation scale and model scale.
- 5+ years of experience in the end-to-end model development life cycle, including data sampling, model training, deployment, and performance evaluation.
Preferred Qualifications
- Experience in pre-training/fine-tuning of large language models, including recent generative set models.
- 5+ years of experience in cross-functional technical leadership, developing and executing strategies.
Suggested Skills
- Machine Learning
- Communication
- Stakeholder Management
You Will Benefit from Our Culture
We prioritize the well-being of our employees and their families, offering generous health and wellness programs and time away for employees at all levels.
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