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Benefits & Perks
•Health, dental, and vision coverage
•Flexible PTO policy
•Annual team offsites
•Top Tier compensation with equity
•Learning and development stipend
Required Skills
Airflow
Python
TensorFlow
About Coursera
Coursera was founded in 2012 by Stanford professors Andrew Ng and Daphne Koller to make world-class learning accessible to everyone, everywhere. Today, over 190 million learners and 375+ university and industry partners use our platform to gain skills in fields like AI, data science, technology, and business. As a Delaware public benefit corporation and Certified B Corp, we’re driven by the belief that learning can transform lives through learning.
Why Join Us
At Coursera, we’re looking for inventors, innovators, and lifelong learners ready to shape the future of education. You’ll help build global programs and tools that power online learning for millions turning bold ideas into real impact. People who thrive here are customer-first builders who move fast, simplify ruthlessly, and iterate relentlessly on the metrics that matter.
We’re a globally distributed team and let you choose the best way you work, whether it's from home, a Coursera hub, or a co-working space near you. Our virtual hiring and onboarding make it easy to join us and start making an impact from anywhere. If you’re ready to make a global impact, scale unique products exclusive to Coursera, and expand your career horizons, apply below.
Job Overview:
We’re seeking a Full-Stack AI Engineer to join a small, cross-functional team focused on building AI-native learning experiences from the ground up. This is a high-impact role where you’ll create innovative, personalized learning features, experiment with new AI capabilities, and move fast from concept to prototype to production.
You’ll work closely with designers, product managers, and other engineers in a maker-driven environment where everyone contributes directly to building the product. The role emphasizes practical use of Generative AI—both in the features we ship and in how you work every day.
This role is an in-person role in our Mountain View office.
Responsibilities:
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Build and ship full-stack features using React (or similar), Node.js, and Python.
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Create AI-driven learning experiences—including hyper-personalization, adaptive content, and intelligent assistance—by leveraging Generative AI frameworks, APIs, and orchestration tools.
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Use AI proactively in your development workflow for scaffolding, refactoring, and testing code—while critically reviewing AI-generated output for quality and performance.
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Rapidly prototype, test, and iterate on ideas based on user feedback.
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Collaborate across disciplines to integrate AI capabilities into seamless, intuitive user experiences.
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Implement and maintain robust testing, deployment, and monitoring for AI-enabled features.
Why You’ll Love This Role
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Impact: Help shape the future of personalized education for millions of learners worldwide.
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Velocity: Work in a fast-moving environment with short iteration cycles and room for bold experimentation.
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Innovation: Build AI-native features and workflows from scratch, unencumbered by legacy constraints.
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Culture: Join a collaborative, hands-on team where your ideas can go from sketch to shipped in weeks.
Qualifications:
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5 + years of professional experience in full-stack development (React/Next.js, Node.js, Python) and working with cloud environments (AWS, GCP, Azure).
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Knowledge of Generative AI concepts and experience applying them to create practical, user-facing applications.
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Hands-on experience using AI coding assistants (e.g., GitHub Copilot, ChatGPT) to speed up development without compromising quality.
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Understanding of RESTful API design, databases (SQL/NoSQL), and modern application architectures.
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Bonus: familiarity with retrieval-augmented generation (RAG), embeddings, or vector databases.
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Strong communication skills, curiosity, and a passion for pushing the boundaries of what’s possible in online learning.
Compensation
This role is available in the following US Pay Zones:
Zone 1: $160,000 - 235,000
At Coursera, we offer competitive, zone-based pay aligned to your location, experience, and role level across four U.S. pay zones. Our total rewards package goes beyond salary, with comprehensive health and wellness benefits, bonus and RSU equity programs, and global perks designed to help you grow and thrive wherever you are.
US Pay Zones:
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US-Z1: SF Bay Area
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US-Z2: NYC and Seattle Metro
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US-Z3: CA, WA, NY, NJ, CO, CT, DC, GA, IL, MA, MD, OR, RI, TX, VA
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US-Z4: AK, AZ, DE, FL, HI, ID, IN, IA, KS, KY, MI, MN, MO, MT, NC, NV, NH, OH, OK, PA, SC, TN, UT, VT, WI
If this opportunity interests you, you might like these courses on Coursera:
Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at accommodations@coursera.org. Learn more in our CCPA Applicant Notice and GDPR Recruitment Notice.
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About Coursera

Coursera
PublicCoursera is an online learning platform that partners with universities and organizations to offer courses, specializations, and degree programs. The company provides access to educational content from top institutions and industry leaders worldwide.
1,001-5,000
Employees
Mountain View
Headquarters
$2.8B
Valuation
Reviews
3.5
3 reviews
Work Life Balance
3.5
Compensation
3.0
Culture
3.0
Career
3.2
Management
2.8
45%
Recommend to a Friend
Pros
Online degree program availability
University partnerships
Skill diversification opportunities
Cons
Limited information and reviews available
Uncertainty about program credibility
Unclear instructor feedback quality
Salary Ranges
0 data points
Mid/L4
Mid/L4 · Data Scientist II
0 reports
$3,895,839
total / year
Base
-
Stock
-
Bonus
-
$3,311,463
$4,480,215
Interview Experience
3 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Offer Rate
66%
Experience
Positive 66%
Neutral 1%
Negative 33%
News & Buzz
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This Coursera Plus deal is one of the best we've ever seen: Save 50% - Business Insider
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