Senior AI Specialist
About the Role
Coursera is seeking a highly skilled and motivated Senior AI Specialist to join our team. This individual will play a pivotal role in developing and deploying advanced AI solutions that enhance our platform and transform the online learning experience. The ideal candidate has 5–8 years of experience, combining deep technical expertise with strong leadership and collaboration skills.
This is a unique opportunity to work on cutting-edge projects in AI/ML, including recommendation systems, predictive analytics, and content optimization. We’re looking for someone who is not only a strong individual contributor but also capable of mentoring others and influencing technical direction across teams.
Key Responsibilities
Deploy and customize AI/ML solutions using platforms such as Google AI, AWS SageMaker, and other cloud-based tools.
Design, implement, and optimize models for predictive analytics, semantic parsing, topic modeling, and information extraction.
Enhance customer journey analytics to identify actionable insights and improve user experience across Coursera’s platform.
Build and maintain AI pipelines for data ingestion, curation, training, evaluation, and model monitoring.
Conduct advanced data preprocessing and cleaning to ensure high-quality model inputs.
Analyze large-scale datasets (e.g., customer reviews, usage logs) to improve recommendation systems and platform features.
Evaluate and improve the quality of video and audio content using AI-based techniques.
Collaborate cross-functionally with product, engineering, and data teams to integrate AI solutions into user-facing applications.
Support and mentor team members in AI/ML best practices and tools.
Document workflows, architectures, and troubleshooting steps to support long-term scalability and knowledge sharing.
Stay current with emerging AI/ML trends and technologies, advocating for their adoption where applicable.
Qualifications
Education
Bachelor’s degree in Computer Science, Machine Learning, or a related technical field (required). Master’s or PhD preferred.
Experience
5–8 years of experience in AI/ML development with a strong focus on building production-grade models and pipelines.
Proven track record in deploying scalable AI solutions using platforms like Google Vertex AI, AWS SageMaker, Microsoft Azure, or Databricks.
Strong experience with backend integration, API development, and cloud-native services.
Technical Skills
Programming: Advanced proficiency in Python (including libraries like TensorFlow, PyTorch, Scikit-learn). Familiarity with Java or similar languages is a plus.
Data Engineering: Expertise in handling large datasets using PySpark, AWS Glue, Apache Airflow, and S3.
Databases: Solid experience with both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) systems.
Cloud: Hands-on experience with cloud platforms (AWS, GCP) and tools like Vertex AI, SageMaker, BigQuery, Lambda, etc.
Soft Skills & Leadership Attributes (Senior Engineer Level)
Technical leadership: Ability to drive end-to-end ownership of AI/ML projects—from design through deployment and monitoring.
Collaboration: Skilled at working cross-functionally with product managers, engineers, and stakeholders to align on priorities and deliver impactful solutions.
Mentorship: Experience mentoring junior engineers and fostering a culture of learning and growth within the team.
Communication: Clear communicator who can explain complex technical concepts to non-technical stakeholders.
Problem-solving: Proactive in identifying challenges and proposing scalable, maintainable solutions.
Adaptability: Comfortable working in a fast-paced, evolving environment with changing priorities and goals.
#LI-SP2
Senior AI Specialist
About the Role
Coursera is seeking a highly skilled and motivated Senior AI Specialist to join our team. This individual will play a pivotal role in developing and deploying advanced AI solutions that enhance our platform and transform the online learning experience. The ideal candidate has 5–8 years of experience, combining deep technical expertise with strong leadership and collaboration skills.
This is a unique opportunity to work on cutting-edge projects in AI/ML, including recommendation systems, predictive analytics, and content optimization. We’re looking for someone who is not only a strong individual contributor but also capable of mentoring others and influencing technical direction across teams.
Key Responsibilities
Deploy and customize AI/ML solutions using platforms such as Google AI, AWS SageMaker, and other cloud-based tools.
Design, implement, and optimize models for predictive analytics, semantic parsing, topic modeling, and information extraction.
Enhance customer journey analytics to identify actionable insights and improve user experience across Coursera’s platform.
Build and maintain AI pipelines for data ingestion, curation, training, evaluation, and model monitoring.
Conduct advanced data preprocessing and cleaning to ensure high-quality model inputs.
Analyze large-scale datasets (e.g., customer reviews, usage logs) to improve recommendation systems and platform features.
Evaluate and improve the quality of video and audio content using AI-based techniques.
Collaborate cross-functionally with product, engineering, and data teams to integrate AI solutions into user-facing applications.
Support and mentor team members in AI/ML best practices and tools.
Document workflows, architectures, and troubleshooting steps to support long-term scalability and knowledge sharing.
Stay current with emerging AI/ML trends and technologies, advocating for their adoption where applicable.
Qualifications
Education
Bachelor’s degree in Computer Science, Machine Learning, or a related technical field (required). Master’s or PhD preferred.
Experience
5–8 years of experience in AI/ML development with a strong focus on building production-grade models and pipelines.
Proven track record in deploying scalable AI solutions using platforms like Google Vertex AI, AWS SageMaker, Microsoft Azure, or Databricks.
Strong experience with backend integration, API development, and cloud-native services.
Technical Skills
Programming: Advanced proficiency in Python (including libraries like TensorFlow, PyTorch, Scikit-learn). Familiarity with Java or similar languages is a plus.
Data Engineering: Expertise in handling large datasets using PySpark, AWS Glue, Apache Airflow, and S3.
Databases: Solid experience with both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) systems.
Cloud: Hands-on experience with cloud platforms (AWS, GCP) and tools like Vertex AI, SageMaker, BigQuery, Lambda, etc.
Soft Skills & Leadership Attributes (Senior Engineer Level)
Technical leadership: Ability to drive end-to-end ownership of AI/ML projects—from design through deployment and monitoring.
Collaboration: Skilled at working cross-functionally with product managers, engineers, and stakeholders to align on priorities and deliver impactful solutions.
Mentorship: Experience mentoring junior engineers and fostering a culture of learning and growth within the team.
Communication: Clear communicator who can explain complex technical concepts to non-technical stakeholders.
Problem-solving: Proactive in identifying challenges and proposing scalable, maintainable solutions.
Adaptability: Comfortable working in a fast-paced, evolving environment with changing priorities and goals.
#LI-SP2