As a Machine Learning Engineer at Coursera, you will work at the intersection of education and cutting-edge AI technology. Our Machine Learning team develops and deploys models that drive content discovery, personalized learning experiences, and intelligent grading. Your contributions will help shape the future of education by creating systems that leverage natural language processing, computer vision, generative models, and more.
Key Responsibilities
- Collaborate with ML scientists to deploy models in production systems and tackle engineering challenges.
- Build scalable, reliable infrastructure and pipelines for data processing, storage, and model training.
- Automate workflows to enhance productivity in model training, evaluation, and results generation.
- Partner with cross-functional teams to define the long-term vision for scaling AI applications.
- Provide technical mentorship to junior engineers and serve as a leader in the ML engineering domain.
Basic Qualifications
- Bachelor's Degree in Computer Science or a related field with a minimum of 4 years of industry experience as a Machine Learning Scientist or Engineer.
- Strong proficiency in Java, Python, and SQL/MySQL.
- Extensive experience with ML ops, large-scale ML applications, and distributed systems architecture.
- Knowledge of Spark, Databricks, Airflow, Kubeflow, and containerization tools like Docker and Kubernetes.
Preferred Qualifications
- Master's or Ph.D. in Computer Science or a related field.
- Expertise in machine learning theory and tools such as Scikit-Learn, TensorFlow, or PyTorch.
- Familiarity with AWS cloud solutions.
- Knowledge of C++ or C#.
- Experience with CI/CD pipelines, microservice architectures, and contributing to top-tier ML conferences or open-source communities.
Recommended Learning on Coursera
- Machine Learning Engineering for Production (MLOps) Specialization
- Computer Vision for Engineering and Science Specialization
- Natural Language Processing Specialization
Why Coursera?
- Remote-First Company. We offer flexible work-from-anywhere opportunities, with interviews and onboarding conducted virtually to ensure a seamless candidate experience.
- Global Impact. Be part of a company that’s helping millions of people around the world to upskill and reskill for their future.
- Diverse Teams. Coursera is committed to building a globally diverse team, and we are excited to offer opportunities in countries where we have legal entities.
Coursera is an Equal Opportunity Employer and welcomes applicants from all backgrounds. If you require a reasonable accommodation during the application process, please contact us at [email protected].