Sr. Manager, Machine Learning

Coursera was launched in 2012 by two Stanford Computer Science professors, Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 162 million registered learners as of September 30, 2024.

Coursera partners with over 350 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, Guided Projects, and bachelor’s and master’s degrees. Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in fields such as data science, technology, and business. Coursera became a B Corp in February 2021.

Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns.

We at Coursera are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. 

Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you.

Job Overview:

We’re looking for a talented, creative, and collaborative leader to join our Data team as a Sr. Manager of Machine Learning  reporting to the Director of Machine learning,  to lead our Core Machine Learning  group. This leader is expected to lead the development of state of the art ML/AI models supporting applications in growth, optimization, recommendation, search ranking, retention and ML Engineering for all Coursera’s business lines of Consumer, Degrees and Enterprise.

Responsibilities:

• Manage a high-performing team of ML Scientists responsible for prototyping/delivering ML/AI solutions which drive meaningful business impact across all business lines at Coursera.
• Partner with Product, Marketing and Engineering stakeholders to identify and prioritize ML/AI solutions that can deliver business impact and improved customer experience.
• Lead the ML Engineering team to deploy high performing and scalable ML/AI models in the production system.
• Build a strong working relationship with all stakeholders across different business lines and increase your influence by building trust and delivering high quality models.
• Provide technical and non-technical mentorship and help the professional development of team members, particularly your direct reports

Basic Qualifications:

• 5+ years of industrial experience in the domains of Machine Learning and/or Machine Learning Engineering with 2+ years of management experience 

• Demonstrated ability to influence executive leadership and stakeholders on complex business topics
• Completing multiple machine learning projects end-to-end from idea generation, objectives formulation, to implementation and deliverables
• Exceptional technical, organizational, and communication skills
• Ability to work in a matrixed environment

Preferred Qualifications:

• Ph.D. degree in Computer Science, Mathematics, Statistics, engineering, operation research or other related fields
• Ability to do hands-on modeling work if needed

 

 

#LI-AK1Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class.
 
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org.
 
For California Candidates, please review our CCPA Applicant Notice here.
For our Global Candidates, please review our GDPR Recruitment Notice here.
 
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