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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Staff AI Engineer, Network Growth AI - **Company:** LinkedIn Corporation - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $191,000.0 - $315,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, Big Data, Continuous Integration, Data Infrastructure, Machine Learning, Natural Language Processing, Recommender Systems, Large Language Models, Generative AI, Information Technology - **Published:** May 24, 2026 - **Apply:** https://www.juju.com/job/00000000g24rw3 ## About the Role + 2+ years of experience as a Technical Lead + 5+ years of overall industry experience in AI / Machine Learning + Bachelor's, Master's, or PhD Degree in Computer Science, Machine Learning, or related technical discipline or equivalent practical experience Preferred Qualifications: + 10+ years of industry experience. + 4+ years of technical leadership (Staff+) experience, including recent experience at the Senior Staff / L7 / Principal Engineer level. + Ph.D. in Computer Science, Machine Learning, Natural Language Processing, or a related discipline. + Prior experience with large scale ML data infrastructure + Experience with developing and designing production scale recommender system products. + Published work in academic conferences or industry circles. Suggested Skills: + AI Recommendation Systems + Transformer Models + Technical Leadership ## Description As a senior technical leader in the Network Growth AI team, you will directly impact member experience through optimizing the above dimensions. You will be responsible for leading a team of scientists and machine learning engineers that build and own personalization algorithms, models, and systems. You will work with some of the best engineers and scientists on state-of-the-art technology that leverages truly big data. You will be leading the core modeling initiatives in the team, including our efforts in Generative Recommendation, Large Language Models, Graph Neural Networks, and Sequential Models. You are expected to challenge the status quo on AI, Engineering, and Product fronts, propose innovative new ideas, and lead these new initiatives to production to further improve our member experience and drive value. + You will be responsible for team's core modeling effort and our mid/long term direction + As a hands-on tech lead, you are expected to actively participate in key technical and design discussions with technical leads in the team. + Collaborate with platform engineering, product, data science and partner teams to design machine learning solutions to power Network Growth ecosystem and optimize member experience. + Operate best engineering and scientific practices & processes to ensure productivity of the team and drive faster iterations via A/B experiments. + You will be expected to be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship. + You will work with peers across teams to support and leverage a shared technical stack. + You will coach the team to produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration., 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [AI for decision-making in Tech Recruiting](https://www.wearedevelopers.com/videos/1074-ai-for-decision-making-in-tech-recruiting) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? 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