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 learner's 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.