LinkedIn · 1 month ago
Senior Staff AI Engineer, AI Privacy Expert
LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. The Responsible AI team is seeking a Senior Staff AI Engineer to lead research and development of privacy-preserving machine learning solutions, ensuring compliance and safety for LinkedIn members and clients.
Professional NetworkingRecruitingSocial MediaSocial Recruiting
Responsibilities
Conduct independent, hands-on research into the state-of-the-art in differential privacy, secure computation, and privacy-preserving machine learning
Evaluate, adapt, and implement advanced algorithmic approaches to optimize for data utility and privacy guarantees in production environments
Establish and manage rigorous evaluation frameworks to quantify the fidelity, utility, and privacy guarantees of generated and anonymized data
Partner with cross-functional teams of data scientists, software engineers, product managers, and governance specialists to ensure the seamless integration and adoption of new privacy capabilities across the enterprise
Develop privacy-first training algorithms and techniques
Develop evaluation and auditing techniques to measure the privacy of training algorithms
Design and prototype privacy-preserving machine-learning algorithms (e.g., differential privacy, secure aggregation, federated learning) that can be deployed at enterprise scale
Measure and strengthen model robustness against privacy attacks such as membership inference, model inversion, and data memorization leaks—balancing utility with provable guarantees
Develop internal libraries, evaluation suites, and documentation that make cutting-edge privacy techniques accessible to engineering and research teams
Lead deep-dive investigations into the privacy–performance trade-offs of large models, publishing insights that inform model-training and product-safety decisions
Define and codify privacy standards, threat models, and audit procedures that guide the entire ML lifecycle—from dataset curation to post-deployment monitoring
Collaborate across Security, Policy, Product, and Legal to translate evolving regulatory requirements into practical technical safeguards and tooling
Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation and excellence
Qualification
Required
2+ years as a Technical Lead, Staff Engineer, Principal Engineer, or equivalent
5+ years of overall industry and research experience in AI or Machine Learning Engineering
BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience
Preferred
10+ years of overall industry and research experience
PhD in Privacy, Security, & Trust or a related discipline
Extensive experience with Differential Privacy, Federated Learning, AI Modeling, and other related solutions
Demonstrated experience effectively collaborating with various teams across the organization including Engineering, Product, Legal/Compliance, etc
Benefits
Generous health and wellness programs
Time away for employees of all levels
Annual performance bonus
Stock
Benefits and/or other applicable incentive compensation plans
Company
LinkedIn is a professional networking site that allows users to create business connections, search for jobs, and find potential clients. It is a sub-organization of Microsoft.
H1B Sponsorship
LinkedIn has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (892)
2024 (1108)
2023 (913)
2022 (1580)
2021 (1043)
2020 (1146)
Funding
Current Stage
Public CompanyTotal Funding
$154.8MKey Investors
Bain Capital VenturesGreylockSequoia Capital
2016-06-13Acquired
2016-02-15Private Equity
2014-04-01Series Unknown
Recent News
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