AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of GenAI, and we’re building an education platform to train them. With a mission to grow and connect the global AI community, DeepLearning.AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. We’re a small tech company with serious credentials, exciting marketing challenges, and wonderful teammates.
DeepLearning.AI is looking for a Curriculum Engineer to work alongside our growing team of developers and engineers. In this role, you will apply your programming skills to help Subject Matter Experts (SMEs) create and / or revise AI and ML coding exercises, write and maintain high-quality code, test and debug new code exercises on the Coursera platform, and build and deploy autograder software for coding exercises. Your experience as an educator, your technical skills in the AI space and your ability to communicate and work well with a team will all be critical for this role.
We are open to remote global workers as long as they are available to work within 3 time zones of California (PDT / GMT -7).
Here’s what you’ll do:
Help Subject Matter Experts (SMEs) to create and / or revise coding assignments: In this role, you will be responsible for creating and / or revising coding exercises in collaboration with SMEs. Although you do not have to be an expert in the subject of every course, you have to be sufficiently technical to develop coding exercises given a set of specifications, or review / revise code that was written by others. As such, we expect you to be proficient in math (calculus, linear algebra and statistics) as well as Python programming (functions, classes, data structures, machine learning frameworks) at a level where you can rapidly learn AI topic areas that are new to you and contribute to / provide feedback on course code exercises. Write and maintain high-quality code: Your software engineering skills are more important for this role than your knowledge of AI, but at least a basic knowledge of AI / machine learning (enough to be a successful learner in the course you’re working on) is a requirement. You’ll be expected to collaborate with SMEs and others to write well documented code that is easily human readable and maintain that code using best practices in GitHub. Python is our preferred language, but a high degree of proficiency in another OOP language similar to Python could serve as a replacement for the Python requirement identified above. Test and debug new code exercises on the Coursera platform and revise / update existing coding exercises: The development of code exercises often happens offline, but you’ll also be responsible for uploading and testing exercises within the Coursera Labs environment. You will also work on maintenance and updates of existing coding exercises. This includes implementing improvements such as fixing bugs / refactoring individual code exercises, collecting and modifying datasets to ensure the code exercises have the desired pedagogical impact, as well as implementing course-wide revisions to update to the latest version of a framework or package being used in the code exercises.Build and deploy autograder software for coding exercises: All of our coding exercises are set up to be automatically graded by software. Familiarity with writing good software unit tests, working with docker containers and debugging across various platforms is critical for this role. Apart from writing robust code, you will always be working with an eye toward how to “humanize” the autograder systems we deploy, such that learners get meaningful automated feedback when their code needs to be revised.
Here are the skills you should have:
Technical background in math and programming at a level sufficient to follow and successfully complete an online course in machine learning such as DLAI’s Deep Learning Specialization. We expect you to be proficient in math (calculus, linear algebra, statistics etc.) as well as Python programming (functions, classes, data structures etc.) at a level where you can rapidly learn ML / AI topic areas that are new to you. Basic knowledge of AI / machine learning is required. Graduate degree (Master’s or PhD) in fields like Computer Science, Artificial Intelligence, Data Science, or a related STEM area, or a Bachelor’s degree and equivalent industry experience with hands-on expertise in machine learning, software development, or data-driven model deployment.In-depth knowledge and experience designing and/or teaching technical courses online or offline, with experience in designing, structuring, and teaching technical courses specifically in machine learning, data science, or artificial intelligence. Demonstrated ability to create interactive, applied learning experiences. Knowledge of software testing best practices and experience with Github, Docker.Excellent communicator with an ability to author and edit high-quality written content in English.Knowledge of instructional design best practices, specifically as it relates to content creation.A team player with willingness to be flexible in timing and tasks to produce the best quality product.
Bonus if you have:
Industry experience as a data scientist, machine learning engineer or similar.Previous experience developing online asynchronous curriculum in the areas of AI, machine learning, data science, robotics or similar.Familiarity with pedagogical practices such as defining learning objectives and backward design, as well as experience applying such practices in the creation of online educational content.
