Senior Full-Stack AI Engineer at Coursera

Role Overview

We are seeking a highly motivated and skilled Senior Full-Stack AI Engineer to join our innovative team at Coursera. In this role, you will be instrumental in developing and implementing AI-driven learning experiences that personalize education for millions of learners worldwide. You will be working on a small, cross-functional team, collaborating closely with designers, product managers, and other engineers to build AI-native learning features from the ground up. This is a unique opportunity to leverage cutting-edge technologies, experiment with new AI capabilities, and rapidly iterate from concept to production.

As a Senior Full-Stack AI Engineer, you will be responsible for building and shipping full-stack features using React, Node.js, and Python. You will be creating AI-driven learning experiences, including hyper-personalization, adaptive content, and intelligent assistance, by leveraging Generative AI frameworks, APIs, and orchestration tools. Additionally, you will be expected to use AI proactively in your development workflow for scaffolding, refactoring, and testing code, while critically reviewing AI-generated output for quality and performance. This role requires an individual who is passionate about AI, education, and building impactful products.

Day in the Life

A typical day for a Senior Full-Stack AI Engineer at Coursera might look like this:

1. Morning: Start the day by reviewing the latest user feedback and analytics to identify areas for improvement in existing AI-powered features. Participate in a team stand-up meeting to discuss progress, roadblocks, and priorities for the day.
2. Mid-day: Spend time coding, implementing new features, or refactoring existing code. Utilize Generative AI tools to assist with scaffolding and code generation, ensuring to critically review and validate the AI-generated output. Collaborate with designers and product managers to refine the user experience and ensure seamless integration of AI capabilities.
3. Afternoon: Focus on testing and debugging code, ensuring that all features are working as expected. Implement robust testing strategies for AI-enabled features, including unit tests, integration tests, and end-to-end tests. Participate in code reviews to provide feedback and ensure code quality.
4. Late Afternoon: Work on deploying and monitoring AI-enabled features. Set up alerts and dashboards to track key metrics and identify potential issues. Document technical designs and implementations.
5. End of Day: Wrap up the day by researching the latest advancements in AI and machine learning. Stay up-to-date with new frameworks, APIs, and tools that could be leveraged to improve Coursera's learning platform.

Why United States

The United States is a global hub for technology and innovation, making it an ideal location for Coursera to thrive and attract top talent. The country boasts a vibrant ecosystem of startups, established tech companies, and world-renowned universities, fostering a culture of creativity and collaboration. The US also offers a diverse and highly skilled workforce, with a strong emphasis on education and continuous learning.

Specifically, Mountain View, California, is located in the heart of Silicon Valley, a global center for technology and innovation. This location provides Coursera with access to a vast network of talent, resources, and partnerships. The area is home to some of the world's leading tech companies, as well as numerous startups and venture capital firms. Being located in Mountain View allows Coursera to stay at the forefront of technological advancements and attract top-tier engineers and data scientists.

Career Path at Coursera

Coursera is committed to providing its employees with opportunities for growth and development. As a Senior Full-Stack AI Engineer, you can expect to have a clear career path with opportunities to advance into roles such as:

• Principal Engineer: Lead technical initiatives and provide guidance to other engineers.
• Staff Engineer: Focus on strategic technical planning and architecture.
• Engineering Manager: Manage a team of engineers and oversee project delivery.
• Technical Lead: Lead a team of engineers on a specific project or area of focus.
• Architect: Design and implement the overall architecture of Coursera's learning platform.

Coursera also offers opportunities for cross-functional growth, allowing engineers to explore roles in product management, data science, and other areas. The company is committed to providing its employees with the resources and support they need to achieve their career goals.

Salary & Benefits

The estimated salary range for a Senior Full-Stack AI Engineer at Coursera is $170,000 to $250,000 per year. The actual salary will depend on factors such as experience, skills, and location.

In addition to a competitive salary, Coursera offers a comprehensive benefits package that includes:

• Comprehensive health, dental, and vision insurance
• Unlimited paid time off
• Paid parental leave
• 401(k) plan with company match
• Professional development opportunities
• Wellness programs and resources
• Employee assistance program
• Free Coursera courses
• Commuter benefits
• Onsite gym and wellness center (Mountain View office)
• Catered lunches and snacks (Mountain View office)
• Company-sponsored events and activities
• Relocation assistance (if applicable)
• Flexible work arrangements

Education for Everyone

Coursera's mission is to provide universal access to world-class learning. As an employee, you will be part of a team that is making a real difference in the world by empowering learners to achieve their educational and career goals. Coursera partners with leading universities and institutions to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees.

By joining Coursera, you will have the opportunity to work on innovative projects that are shaping the future of education. You will be surrounded by a team of passionate and talented individuals who are committed to making a positive impact on the world.

How to Apply

To apply for the Senior Full-Stack AI Engineer position at Coursera, please visit our careers page and submit your resume and cover letter. Be sure to highlight your experience with full-stack development, AI, and machine learning. We encourage you to showcase your passion for education and your commitment to building impactful products.

FAQ

1. What is Coursera's mission? Coursera's mission is to provide universal access to world-class learning.
2. What types of courses does Coursera offer? Coursera offers a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees.
3. What skills are required for this role? The ideal candidate will have experience with React, Node.js, Python, Generative AI frameworks, and cloud platforms.
4. What is the salary range for this role? The estimated salary range is $170,000 to $250,000 per year.
5. What benefits does Coursera offer? Coursera offers a comprehensive benefits package, including health insurance, unlimited paid time off, and a 401(k) plan.
6. What is the career path for this role? There are opportunities to advance into roles such as Principal Engineer, Engineering Manager, and Architect.
7. Where is the position located? This role is an in-person role in our Mountain View, California office 3 days a week.
8. Does Coursera offer remote work options? Coursera offers flexible work arrangements, including remote work options.
9. What is the company culture like? Coursera has a collaborative and innovative culture, with a strong emphasis on making a positive impact on the world.
10. How do I apply for this position? Visit our careers page and submit your resume and cover letter.