Lead AI Architect for Trust and Safety
2 weeks ago
As a Staff Software Engineer, Machine Learning at LinkedIn, you will have the opportunity to work on cutting-edge AI solutions that help professionals achieve more in their careers. Our mission is to establish standardized tools, platforms, and algorithms that will serve various trust-focused teams. You will be responsible for spearheading the strengthening of our AI foundation space, harnessing, tailoring, and innovating cross-functional solutions of the highest caliber to augment the performance of our current AI solutions.
You will lead the team to deliver state-of-the-art solutions for the most complex problems to keep members safe on the platform. Your strong ownership and collaboration skills will enable you to work across horizontal and vertical teams by driving consensus, domain adaptation, and alignment. You will drive technical roadmap and architecture for foundational technology across the Trust organization and align on product and technology strategy related to Trust issues across functions and organizations across LinkedIn.
Key Responsibilities:
- Develop and implement advanced AI models to improve operational efficiency and decision quality.
- Collaborate with cross-functional teams to identify areas for improvement and develop strategies to address them.
- Leverage machine learning, data mining, and security data science expertise to drive business outcomes.
- Mentor and guide junior engineers to develop their skills and expertise.
Requirements:
To succeed in this role, you will need a strong background in computer science or a related field, with 10+ years of experience in machine learning, artificial intelligence, and ML algorithm-related solutions. You should have 5+ years of experience in an architect or technical leadership position and domain expertise in deep learning, Generative AI, and large language models. Additionally, you should have 10+ years of experience in large-scale machine learning modeling, spanning data sampling, model training, deployment, and performance evaluation.
We offer a competitive salary of $250,000 per year, based on your experience and qualifications. You will also receive a comprehensive benefits package, including health insurance, retirement savings plan, and paid time off. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
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