Staff Software Engineer - Marketplace Integrity
About The Position
LinkedIn is hiring a Staff Software Engineer for its Marketplace Integrity team. The team builds scalable systems, applications, data pipelines, and product integrations that use machine learning and statistical models to combat automation abuse, including scraping, AI-generated low-quality content, and automated-agent activity. Bot and agent detection is a key focus, involving state-of-the-art detection mechanisms and integrations with third-party vendors that provide telemetry, with systems designed to scale across LinkedIn products. This role develops and scales distributed applications and reliable, high-volume user-centric services. It includes making architectural trade-offs, applying synchronous and asynchronous design patterns, and delivering high-quality software through testing, code review, and continuous integration. The engineer also provides technical leadership for large-scale, cross-functional, company-wide programs and identifies opportunities to improve engineering productivity. The position is hybrid, performed both from home and from a LinkedIn office on select days according to team business needs. The pay range is $156,000–$255,000. Total compensation may also include an annual performance bonus, stock, benefits, and/or other applicable incentive compensation.
Requirements
- BA/BS degree in Computer Science or a related technical discipline, or related practical experience.
- At least 4 years of industry experience in software design, development, and algorithm-related solutions.
- At least 4 years of programming experience in languages such as Python, Java, JavaScript, C/C++, C#, Objective-C, or Ruby.
- At least 3 years of experience in Trust and Safety, Anti-Abuse, or a similar domain.
Nice To Haves
- Experience building applications or platforms for detecting and mitigating adversarial actors.
- Experience working with massive amounts of data to derive insights that inform decision-making and the team's roadmap.
- 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 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, and similar tools.
- Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management.
Responsibilities
- Build scalable systems, applications, data pipelines, and product integrations that use machine learning and statistical models to combat automation abuse.
- Develop bot and agent detection mechanisms, including integrations with third-party vendors providing telemetry, that can scale across LinkedIn products.
- Scale distributed applications and make architectural trade-offs using synchronous and asynchronous design patterns.
- Develop multi-tier, scalable, high-volume, reliable, user-centric applications that operate 24x7.
- Produce high-quality software through unit testing, code review, and regular check-ins for continuous integration.
- Provide technical leadership and drive engineering best practices to initiate, plan, and execute large-scale, cross-functional, company-wide critical programs.
- Identify, leverage, and evangelize opportunities to improve engineering productivity.
Benefits
- Generous health and wellness programs.
- Time away for employees of all levels.
- The total compensation package may include an annual performance bonus, stock, benefits, and/or other applicable incentive compensation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
