Staff AI Architect, Machine Learning Innovator
2 days ago
We are a leading global platform connecting professionals and driving career growth. Our mission is to empower members with innovative products and technology.
Job DescriptionStaff AI Engineer (Machine Learning)
We are seeking an experienced Staff AI Engineer to join our Trust AI Platforms & Foundations team. As a technical leader, you will play a crucial role in establishing standardized tools, platforms, and algorithms that serve various trust-focused teams.
Our approach involves focusing on specific foundational issues through a centralized strategy, safeguarding our efforts from potential product changes while enhancing accountability for results and adoption. You will work closely with other foundational teams to create synergies and amplify our impact.
In this role, you will spearhead the strengthening of our AI foundation space by harnessing, tailoring, and innovating cross-functional solutions of the highest caliber. You will also introduce innovative safety measures and streamline processes to boost efficiency.
Main Responsibilities:
- Lead the team to deliver state-of-the-art solutions for complex problems
- 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
- Lead by example to build a culture of craftsmanship and innovation
Requirements:
- MS/PhD Degree in Computer Science or related field
- 10+ years' experience in machine learning, AI, 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
Salary Range: $200,000 - $250,000 per year
Benefits:
- Generous health and wellness programs
- Time away for employees of all levels
About Working at LinkedIn
We believe in the well-being of our employees and their families. We offer a hybrid work option, allowing you to work from home and commute to a LinkedIn office when needed.
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