LinkedIn
Sr. Staff Software Engineer, LTS Search & Recommendation
LinkedIn, Mountain View, California, us, 94039
Sr. Staff Software Engineer, LTS Search & Recommendation
LinkedIn is seeking a Senior Staff Software Engineer to define and lead the technical strategy for Search and Recommendation in LinkedIns Talent Solutions. This team powers large-scale search retrieval, ranking, and qualification-based evaluation of LinkedIn members. Talent Solutions products enable millions of professionals and organizations to connect more effectively. In this role, you will serve as the technical lead, shaping long-term architecture driving the application of the latest advancements in AIincluding semantic search, embeddings, and Generative AI/LLMs. Youll translate these innovations into scalable systems and impactful product capabilities that enhance customer adoption, deliver measurable value, and drive revenue growth across LinkedIns hiring product. Responsibilities
You will deliver impact by driving innovation while building and shipping software at scale. You will work closely with and influence product and/or technology partners regularly to help define a long-term technology roadmap. Owning the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems. Functioning as the tech-lead for several concurrent key initiatives across Search and AI Infrastructure, AI modeling and defining the future of AI-enabled products. You will execute on product and technical workstreams by collaborating with engineering, product managers, designers, other software development teams, and business partners. You will be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship. You will resolve conflicts between teams within the organization to get alignment and build team culture. You will create a collaborative work environment that fosters autonomy, transparency, innovation, and learning. Basic Qualifications
BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience 5+ years of experience in software design, development, and algorithm related solutions 5+ years of experience with large-scale distributed systems and client-server architectures 5+ years of experience in programming languages such as Python, Java, Rust, C#, C/C++ 3+ years of experience in an architect or technical leadership position Preferred Qualifications
10+ years of experience in software design, development, and algorithm related solutions 2+ years experience building ML applications, LLM serving, GPU serving 2+ years working on search retrieval and ranking 1+ years of working on GenAI applications (Prompt engineering optimizations, Fine tuning, etc.) Experience with machine learning or related technology Experience building large-scale consumer products Experience in leading cross-organization, cross-functional efforts and successfully delivering transformational technology for hard problems Active involvement in the creation and execution of technical strategies and roadmaps Skills
Technical Leadership Distributed Systems Information retrieval / recommendation systems Knowledge of systems with Machine Learning and Deep Learning 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 to $297,000. Actual compensation packages depend on several factors, including skill set, depth of experience, certifications, and work location. The total compensation package may also include annual performance bonus, stock, benefits and/or other incentive compensation plans. For more information, visit the LinkedIn benefits page or pay transparency statements listed below. Equal Opportunity and Accommodations
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn provides an inclusive and accessible experience for all job seekers. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, contact accommodations@linkedin.com. Pay Transparency Policy and Global Data Privacy notices can be found at the links provided in the original description. #J-18808-Ljbffr
LinkedIn is seeking a Senior Staff Software Engineer to define and lead the technical strategy for Search and Recommendation in LinkedIns Talent Solutions. This team powers large-scale search retrieval, ranking, and qualification-based evaluation of LinkedIn members. Talent Solutions products enable millions of professionals and organizations to connect more effectively. In this role, you will serve as the technical lead, shaping long-term architecture driving the application of the latest advancements in AIincluding semantic search, embeddings, and Generative AI/LLMs. Youll translate these innovations into scalable systems and impactful product capabilities that enhance customer adoption, deliver measurable value, and drive revenue growth across LinkedIns hiring product. Responsibilities
You will deliver impact by driving innovation while building and shipping software at scale. You will work closely with and influence product and/or technology partners regularly to help define a long-term technology roadmap. Owning the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems. Functioning as the tech-lead for several concurrent key initiatives across Search and AI Infrastructure, AI modeling and defining the future of AI-enabled products. You will execute on product and technical workstreams by collaborating with engineering, product managers, designers, other software development teams, and business partners. You will be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship. You will resolve conflicts between teams within the organization to get alignment and build team culture. You will create a collaborative work environment that fosters autonomy, transparency, innovation, and learning. Basic Qualifications
BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience 5+ years of experience in software design, development, and algorithm related solutions 5+ years of experience with large-scale distributed systems and client-server architectures 5+ years of experience in programming languages such as Python, Java, Rust, C#, C/C++ 3+ years of experience in an architect or technical leadership position Preferred Qualifications
10+ years of experience in software design, development, and algorithm related solutions 2+ years experience building ML applications, LLM serving, GPU serving 2+ years working on search retrieval and ranking 1+ years of working on GenAI applications (Prompt engineering optimizations, Fine tuning, etc.) Experience with machine learning or related technology Experience building large-scale consumer products Experience in leading cross-organization, cross-functional efforts and successfully delivering transformational technology for hard problems Active involvement in the creation and execution of technical strategies and roadmaps Skills
Technical Leadership Distributed Systems Information retrieval / recommendation systems Knowledge of systems with Machine Learning and Deep Learning 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 to $297,000. Actual compensation packages depend on several factors, including skill set, depth of experience, certifications, and work location. The total compensation package may also include annual performance bonus, stock, benefits and/or other incentive compensation plans. For more information, visit the LinkedIn benefits page or pay transparency statements listed below. Equal Opportunity and Accommodations
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn provides an inclusive and accessible experience for all job seekers. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, contact accommodations@linkedin.com. Pay Transparency Policy and Global Data Privacy notices can be found at the links provided in the original description. #J-18808-Ljbffr