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. By working with us you will: Being part of a world-class team of subject matter experts from various fields (marketing, operations, product, etc.) trying to change the world. Work across cultural and geographical lines alongside our offices in different parts of the world. The opportunity to be exceptionally creative with your high-impact ideas. Our defining values: We care deeply about our learners: We let our learners needs guide our actions and decisions and put our mission ahead of ourselves. We are great at what we do: We strive for excellence in all dimensions, especially in the quality of the content we create and the people we hire. We default to action: We are comfortable acting with limited information and taking ownership of our decisions. We ask why: We ask the hard questions and are open to being in the wrong. We advocate for the best ideas, not our ideas. We are honest and authentic: We are transparent as an organization, over-communicate to build trust, and share our failures just as we do our successes. We do this together: We help each other grow and succeed and have fun at work, even in a remote environment.
DeepLearning.AI is looking for a Curriculum Developer (CD) to work with our internal Curriculum Product Managers (CPMs) and network of world experts in the AI space to create high-quality education content. In this role, you will leverage your expertise in learning experience design to help Subject Matter Experts (SMEs) produce high-quality courses and effective learning experiences. 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. Responsibilities: Convert the SME s vision into effective learning content: Our SMEs are experts in their technical domain but are not always teaching or curriculum experts. You will take their ideas and rough materials (hand-sketched slides, bullet-pointed notes, or recorded video lectures) and convert them into learner-facing content (slides, scripts, quizzes, reading items, etc.). Although you do not have to be an expert in the subject of every course, you must be sufficiently technical to understand the material and its intent, and rapidly upskill, before or in the process of creating a new program. Review and provide feedback on technical content : You will be learner zero, and the judge and advocate of how other learners may perceive the material. This requires expertise in instructional design and an ability to empathize with learners. You will need to identify areas of improvement in material produced by SMEs or your peers, suggest solutions, and implement them. Ensure consistently high content quality and good pedagogy. Effective courses are accurate, cohesive, and engaging. You will be working with peers, with the guidance of the SME and CPM to provide the connective tissue that aligns all the various pieces of feedback and content together. In this generalist role, you could be creating assessments one day, and making video edits to align the scripts and slides the next, all with great attention to detail. Requirements: Technical background in math, data science, and programming at a level sufficient to follow an online course in machine learning. 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 lecture materials and code exercises. At least a basic knowledge of AI/machine learning is required. The above is usually indicated through a master s degree in a STEM subject or a bachelor s degree in STEM and certified online courses in machine learning or related fields. Experience designing and/or teaching technical courses online or offline. Must have created slide presentations, reading or lecture material, and assessments for post-secondary or adult learners. Knowledge of instructional design best practices, specifically as it relates to content creation. Excellent communicator with the ability to author and edit high-quality written content in English. A team player with a willingness to be flexible in timing and tasks to produce the best quality product. Preferred: A PhD in Math, Data Science, Computer Science, or a related field. Industry experience as a data scientist, machine learning engineer, or similar. Previous experience developing online asynchronous curricula 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. Our defining values: We care deeply about our learners: We let our learners needs guide our actions and decisions and put our mission ahead of ourselves. We are great at what we do: We strive for excellence in all dimensions, especially in the quality of the content we create and the people we hire. We default to action: We are comfortable acting with limited information and taking ownership of our decisions. We ask why: We ask the hard questions and are open to being in the wrong. We advocate for the best ideas, not our ideas. We are honest and authentic: We are transparent as an organization, over-communicate to build trust, and share our failures just as we do our successes. We do this together: We help each other grow and succeed and have fun at work, even in a remote environment. What we offer: DeepLearning.AI offers a competitive compensation package including a monthly education stipend, flexible PTO, and much more. Individual compensation offers will vary based on factors such as geographic location, work experience, education/training and skill level.