Sr. Staff Software Engineer

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

At Trust Foundations we build the infrastructure to ensure the safety of job seekers, businesses, and our members across the world’s largest professional network. We focus on leveraging AI to detect and prevent harm before it happens, and to provide our members with the best experience possible across a range of experiences. As a tech leader working with the Data Foundations team you will lead the design and implementation of robust data systems and ML modeling features that power LinkedIn Trust’s AI-driven transformation. This role will ensure that Trust features are reliably accessible, stable, secure, and contextually usable by LLMs and AI agents tasked with investigations, moderation, enforcement, and governance

If you're passionate about using engineering to foster trust and safety across a global platform, join our team and help shape the future of trust engineering at LinkedIn!

This role will be based in Mountain View, CA.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Responsibilities:

• You will drive the development of tooling and data aggregation to support LinkedIn Trusts AI efforts, including scalable data systems for real-time detection and enforcement, investigation and moderation agents, and next generation large language model fine-tuning

• You will work with Trust Foundation leads to develop long-term roadmaps and plans for infrastructure modernization.

• You will be a role model and professional coach for more junior engineers with a strong bias for action and focus on craftsmanship.

• You lead the scaling of distributed systems, make architectural trade-offs applying synchronous and asynchronous design patterns, review code, and drive operational excellence.

• You will build for continuous deployment and robust operations, utilizing unit and integration tests and real-time observability to ensure quality.

Basic Qualifications:

• BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience 

• 5+ years of industry experience in software design, development, and algorithm related solutions.

• 5+ years programming experience in languages such as Python, Java, Javascript, C/C++, C#, Objective-C, Ruby, etc

• 2+ years of experience in an architect or technical leadership position

Preferred Qualifications:

• 10+ years’ experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position

• 5+ years experience with large-scale distributed systems and client-server architectures

• 10+ years programming experience in an object-oriented programming language such as Java, C/C++

• Experience with large-scale distributed systems and client-server architectures

• Experience leading by influence, formulating and driving technical strategies across various organizations 

• Experience leading a large organization

Suggested Skills:

• Technical Leadership

• Architectural Mastery

• Code Review and Quality Assurance

• Cross-organizational collaboration

• Mentoring and Knowledge Sharing

You will Benefit from our Culture

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $181,000 - $297,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits.

Equal Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

San Francisco Fair Chance Ordinance ​

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement ​

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates ​

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.