Sr. Manager, Machine Learning

  • Full-time
  • Workplace Type: Hybrid
  • Career Track & Grade: MR4/10
  • Department: Engineering

Company Description

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 also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

Job Description

Join the LMS Ads Trust team and help create meaningful impact by connecting Advertisers and members to mutual growth opportunities! LinkedIn Marketing Solutions (LMS) is one of the fastest-growing multi-billion-dollar verticals at LinkedIn, and the LMS-AI team is at the forefront of building the next generation of AI-centric Ads Trust platform. This platform enables tens of millions of companies to connect with their future customers and members, driving significant economic value. As a member of the LMS Ads Trust team, you will work on cutting-edge projects, including building Agentic and GenAI-powered Brand Safety, Suitability and Traffic quality signals through scalable systems, tuning and applying domain-specific LLMs, and collaborating with our vast third-party partner ecosystem. You will be responsible for building first party trust signals to contribute towards strengthening our foundational capabilities to help the B2B growth at massive scale. You will have the opportunity to work with passionate 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.

As 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.

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.

Responsibilities: 

  • As a senior 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: 

  • Experience of leading a team of engineers as a people manager. 

  • Masters Degree in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or a related discipline. 

  • Experience in Java, Scala and Python. 

  • Experience using clustered computing systems: Dataflow, Hadoop/Spark. 

  • Experience in building ML data systems and in ML/AI. 

Preferred Qualifications: 

  • 5+ 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

Suggested Skills: 

  • People Management

  • Experience in building ML data systems

  • Clustered computing systems experience

  • Applied ML & GenAI Systems

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 https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf

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.

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 https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf

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.

Privacy Policy