Senior Staff Engineer, Machine Learning Content Ecosystem

Job description

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.

The Content Ecosystem AI team is responsible for multiple core recommendation systems at LinkedIn, including Homepage News Feed ranking, Suggested Content recommendation and Creator Optimization across flagship pillars.

Our vision is to help LinkedIn's 1B+ members succeed in their professional careers, by providing them value via high-quality professional content and conversations on a daily basis.

As a Senior Staff tech lead at Content Ecosystem AI, you will be responsible for building the most cutting edge AI technologies, including but not limited to, Large Language models, Generative Recommender, Graph Neural Networks, Multimodal Learning, Reinforcement Learning and Causal Inference, to deliver a world-class content experience.

You will work with product and data science partners in defining the organization's product strategy, infra and foundation partners in productionizing large-scale AI models and accelerating AI productivity.

You will deliver direct impacts on every member's experience and significantly contribute to the company's growth and monetization.

Responsibilities

+ You will build the most cutting edge recommendation systems to deliver substantial engagement wins
+ You will closely work with Infra partners on scaling complex AI models to all 1B+ LinkedIn members
+ You will derive the team's technical strategy and drive daily decision-making
+ You will work with leadership to uplevel team's tech stack and grow team's talents, as well as evangelize team's work internally and externally

Basic Qualifications

+ Bachelor's degree in Computer Science or related technical field or equivalent technical experience
+ 7+ years of industry experience with large-scale recommendation systems

Preferred Qualifications

+ MS or Ph.D. in Computer Science or related technical discipline
+ Experience with News Feed recommendation systems
+ Full stack experience with AI systems, from modeling to training and serving.

Suggested Skills

+ Deep Learning
+ Recommendation and Search
+ AI infrastructure

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 $191,000 - $315,000.

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 accommodations@linkedin.com 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.

Required Skill Profession

Other General