Developer Advocate - EMEA
•Anyscale· 7h
💻 Engineering⏰ Full-time📈 Mid Level🇬🇧 London, UK
7h ago
Linkedin·about 2 months ago
Team Overview:
The Assets, Formats & Placements team is part of our LinkedIn Marketing Solutions (Ads Technology) group. This team has a vision of building a content onboarding and asset generation platform, innovating in new ad formats and experimenting with new ad slot supply that can be monetized.
The team also owns vertical products like hosting live events and B2B marketing aspects for those events and the strategy to monetize creators & publishers that post high quality video content on LinkedIn.
Location:
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.
This role will be based in New York, NY.
Responsibilities:
As a Principal AI Engineer you will be setting the technical direction and foundation to build and own algorithms, models, and systems that power our LinkedIn ad tech platform. We are looking for a high performing and high ambition tech lead who will use AI/ML to push the boundaries of our ad stack and meet the future needs of our B2B advertisers.
Define and execute technical vision for applying AI to accelerate the team’s roadmap which includes asset generation using LLMs, personalizing ads at scale and new workflows that guide advertisers to building higher performing ads.
Mentor and work with other Sr. Staff SWEs in the team to establish quality norms, processes and build a culture of operational excellence.
Partner with Product, Data Science, and AI Research teams to translate business goals into scalable AI-powered capabilities that improve the advertiser experience & ROI.
Establish best practices for experimentation, model evaluation, and responsible AI within the asset generation, ads personalization and supply expansion spaces.
Basic Qualifications:
5+ years as a Technical Leader (L7, Senior Staff, Principal, etc.)
7+ years of industry experience with Machine Learning, AI, Data Engineering, or related solutions.
Bachelor of Science (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding, or equivalent technical experience.
Preferred Qualifications:
10+ years of industry experience (AI, Machine Learning, Data Science, or related) including prior experience working in the Tech domain.
Master’s or PhD in Computer Science or a related discipline.
BS and 12+ years of relevant work experience, MS and 10+ years of relevant work experience, or PhD and 8+ years of relevant work experience.
Previous design and implementation of solutions in highly distributed environments.
Experience in the Advertising and Marketing domain.
Prior work designing and building scalable agentic systems.
Skills:
Technical Leadership
AI Engineering
Enterprise ML Solutions
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.
Compensation:
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $207,000 to $340,000. 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 additional 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.
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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:
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.
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Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
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