- Ideate, prototype, and productionize the machine learning algorithms that power Coursera’s learning experience, especially in-course student support (question-and-answering service, machine-assisted grading, plagiarism detection, service ticket classification)
- Partner with product to identify and articulate opportunities, drive data product adoption, and build efficient and scalable insights and data products
- Design, implement and deploy end-to-end machine learning / deep learning pipelines and models with cloud services (e.g., AWS Sagemaker)
- Distill insights from complex data and/or data product results; communicate findings clearly to both technical and non-technical audiences
- Develop metrics to evaluate data product performance and drive improvements.
- 3+ years experience with NLP, classification, and predictive modeling in production environments
- Demonstrated ability to identify opportunities for machine learning to improve existing systems
- Solid background in machine learning frameworks like TensorFlow, PyTorch, Scikit Learn, etc.
- Knowledge of software development tools like Git, CI/CD, Docker, etc.
- Strong project management and cross-functional collaboration skills
- Excellent problem solving, critical thinking, analytical and interpersonal skills
- Proficient with relational databases and SQL
- 2+ years of work experience in deployment and scaling of Machine Learning and Deep Learning algorithms on AWS cloud services (Sagemaker, Lambda, Cloudwatch, etc.)
- Experience with model lifecycle management, testable code and shipping code into production
- Proficient with large-scale distributed databases (e.g., Spark)
- Experience with online controlled experimentation
- MS or above
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About this role
May 6th, 2021
Job posted on
November 17th, 2020
Coursera is hiring for this role in the following timezones:
About the companyCoursera was founded by two computer science professors at Stanford with a vision of providing life-transforming learning experiences to anyone, anywhere. It is the world’s largest online learning plat...
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