Senior AI Specialist

Job Description

Coursera is seeking a Senior AI Specialist to develop and deploy advanced AI solutions that enhance their platform and transform the online learning experience. The ideal candidate will have 5–8 years of experience, combining deep technical expertise with strong leadership and collaboration skills.Coursera is committed to building a globally diverse team and offers flexibility in workspace choices, allowing employees to work from home, offices, hubs, or co-working spaces.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.

Requirements:

• Bachelor’s degree in Computer Science, Machine Learning, or a related technical field (required). Master’s or PhD preferred.
• 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.
• Advanced proficiency in Python (including libraries like TensorFlow, PyTorch, Scikit-learn). Familiarity with Java or similar languages is a plus.
• Expertise in handling large datasets using PySpark, AWS Glue, Apache Airflow, and S3.
• Solid experience with both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) systems.
• Hands-on experience with cloud platforms (AWS, GCP) and tools like Vertex AI, SageMaker, BigQuery, Lambda, etc.
• Ability to drive end-to-end ownership of AI/ML projects—from design through deployment and monitoring.
• Skilled at working cross-functionally with product managers, engineers, and stakeholders to align on priorities and deliver impactful solutions.
• Experience mentoring junior engineers and fostering a culture of learning and growth within the team.
• Clear communicator who can explain complex technical concepts to non-technical stakeholders.
• Proactive in identifying challenges and proposing scalable, maintainable solutions.
• Comfortable working in a fast-paced, evolving environment with changing priorities and goals.

Coursera offers:

• Flexibility and workspace choices for employees.
• Opportunity to work on cutting-edge projects in AI/ML.
• Mentorship opportunities.