
Machine Learning Manager
17 hours ago
Manager, Machine Learning
Company DescriptionLinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume -- we transform lives through innovative products and technology.
Every day, millions of posts, videos, and articles course through the LinkedIn feed, generating tens of thousands of comments every hour — and tens of millions more shares and likes.
Join the LSS-AI team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-AI team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value. As a member of the LSS-AI team, you will work on cutting-edge projects, including building Agentic and GenAI-powered search and recommendation systems, tuning and applying domain-specific LLMs, and collaborating with our partner vendors like OpenAI. You will have the opportunity to work with passionate AI engineers, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.
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.
Job DescriptionAs part of a new and fast growing team of top-notch scientists and engineers, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.
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 Sales ecosystem.
- You will collaborate with application engineering, product, and partner teams to design machine learning solutions to power LSS 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 modeling use cases online.
Basic Qualifications:
- 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
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
Suggested Skills
People Management
Clustered computing systems experience
Experience in building ML data systems
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Experience LevelMid Level-
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