Manager, Machine Learning + Software Engineering
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Job Location:
Monthly Salary:
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
LinkedIn Marketing Solutions (LMS) helps B2B brands reach engage and convert professional audiences on a safe trusted platform. The Ads Trust Engineering charter builds scalable AI systems that improve Ads auto-review traffic quality brand safety/suitability/viewability and transparency for members and advertisers while enabling partner-led growth.
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.
As a Manager you will lead end-to-end ML systems and AI defenses that protect members and maximize advertiser ROI across LinkedIn Marketing Solutions. Youll own architecture and delivery from data pipelines to low-latency inference partner across product/infra/DS to set technical direction and raise the bar on engineering craftsmanship and operational excellence.
Responsibilities:
As a manager you will participate in key technical and design discussions with technical leads in the team.
You will lead the AI strategy for an area and work with the engineering and product leads to align it with the larger vision for the LinkedIn Ads ecosystem.
You will collaborate with application engineering product and partner teams to design machine learning solutions to power LMS products.
You will attract world class talent and provide technical guidance career development and mentoring to team members.
You will hold the team to a high-quality bar for machine learning tech and actively reduce tech debt designing systems that scale with algorithms and with time and improve engineering productivity.
You will partner with data science & analytics teams product & infrastructure teams to build and onboard new modelling use cases online.
Qualifications :
Basic Qualifications
Engineering degree in Computer Science or related field or equivalent practical experience.
MS/PhD degree in Computer Science Information Retrieval Machine Learning Natural Language Processing or a related discipline.
8 years of experience in machine learning artificial intelligence or related fields.
5 years in an architect or technical leadership role driving large-scale AI initiatives.
Hands-on experience with end-to-end ML lifecycle: data pipelines training deployment monitoring and optimization.
Experience of leading a team of engineers as a people manager.
1 year(s) of management experience or 1 year(s) of staff level experience with management training
Preferred Qualifications
3 years of management experience.
MS or PhD in Computer Science Statistics or related technical discipline
Experience with machine learning optimization algorithms and/or deep-learning techniques
Experience developing large scale systems
Leadership or mentorship experience is preferred
Analytical approach coupled with solid communication skills and a sense of ownership
Track record of producing papers in conferences such as KDD ... and Patenting Innovations
Experience with LLMs/GenAI (prompt design evaluation safety) and applying them to production trust/safety or relevance problems.
Expertise in streaming frameworks (e.g. Flink/Samza) and large-scale storage/indexing; designing resilient caches and partition strategies.
Background in ad tech (Ads review auction dynamics measurement viewability brand safety/suitability IVT) and working with external partners/signals.
Familiarity with privacy compliance and transparency domains within digital advertising.
Suggested Skills
Machine Learning GenAI/LLMs
Distributed Systems & System Design
Streaming Data
Experimentation Observability
AdTech Domain Expertise
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.
Additional Information :
India Disability Policy
LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers including individuals with disabilities. For more information on our equal opportunity policy please visit 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: Work :
No
Employment Type :
Full-time
Key Skills
About Company
LinkedIn is the world’s 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. We’re ... View more
