Sr. Staff Software Engineer, LTS Search & Recommendation

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.

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.

We are seeking a Senior Staff Software Engineer to define and lead the technical strategy for Search and Recommendation in LinkedIn's 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 AI- including semantic search, embeddings, and Generative AI/LLMs. You'll translate these innovations into scalable systems and impactful product capabilities that enhance customer adoption, deliver measurable value, and drive revenue growth across LinkedIn's 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

Suggested 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 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.

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.