Staff Software Engineer - Marketplace Integrity

Company Description 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.

Job Description

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.

About the Team:

As a member of the Marketplace integrity team, you will be responsible for building scalable systems, applications, data pipelines and product integrations that use machine learning and statistical models to automatically fight any form of automation abuse including scraping, AI-slop and Agent detection. Bot detection including agents is a key area of focus which blends the state of art detection mechanisms, requires integration with third party vendors that provides rich telemetry data and should scale across all of the linkedin products.

Responsibilities:

• You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, orchestrate code, and deliver with speediness and quality.
• You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7.
• You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
• You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity

Qualifications

Basic Qualifications:

• BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
• 4+ years of industry experience in software design, development, and algorithm related solutions.
• 4+ years programming experience in languages such as Python, Java, Javascript, C/C++, C#, Objective-C, Ruby, etc.
• 3+ years of experience in Trust and Safety, Anti-Abuse domain or similar.

Preferred Qualifications:

• Experience building applications, platforms for detection, mitigation of adversarial actors.
• Experience with working with massive amount of data to derive insights that can power decision making and steer the road map direction of the team.
• BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience.
• Experience in designing and building infrastructure and web services at large scale.
• Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design.
• Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming.
• Experience building web applications and services with IDEs, ant, junit, etc.
• Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management.

Suggested Skills:

• Technical Leadership
• Architectural Mastery
• Code Review and Quality Assurance
• Data analysis and insights
• Mentoring and Knowledge Sharing
• Trust and Safety

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 $156,000 - $255,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Additional Information

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 and describe the specific Accommodation requested for a disability-related limitation.

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• Documents in alternate formats or read aloud to you
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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.

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