Senior Technical Content Developer

Key Skills

Aartificial intelligence, Algorithms, Apache Hadoop, Apache Kafka, AWS, Azure, Big Data Technology, Computer Vision (CV), Data Visualization, Git, Google Cloud Platform (GCP), Keras software library, Large Language Models - LLMs, Machine learning techniques, matplotlib, Natural Language Processing (NLP), NumPy, Pandas, PyTorch, SPARK Programming, TensorFlow

Job Description

Udacity’s Content Team is looking for a Senior AI Technical Content Developer to develop hands-on learning experiences focused on artificial intelligence for our learners. You’ll create professional learning paths aimed at technical upskilling and provide instructional design leadership through the course development process. As a content developer focused on AI, you will bring your own technical expertise and knowledge of AI industry trends to bear on the training programs that Udacity develops as part of its AI catalog.

Responsibilities

• Monitor and engage with the latest developments in artificial intelligence, review internal and competitor content offerings, and contribute insights for Udacity’s ever-evolving AI catalog of nanodegrees and courses.
• Utilize technical expertise, industry knowledge, and research skills to develop high-level scopes for Udacity content.
• Collaborate with external subject matter experts and internal team members to develop effective online content that adheres to Udacity’s pedagogical standards.
• Coach new authors on the Udacity course development process and provide pedagogical feedback to instructors on the content they develop from the perspective of being the “student zero”.
• Create learning content, including videos, text, technical exercises, quizzes, and projects using Udacity’s tooling, templates, and pedagogical best practices.
• Support authors in creating coding environments on our platform, including workspaces and other interactive lab environments.
• Utilize data and learner feedback to support content effectiveness and student outcomes.

Required Technical Skills:

• Knowledge of AI principles, including natural language processing (NLP), computer vision, LLMs, and reinforcement learning.
• Familiarity with AI tools and libraries.
• A strong foundation in statistical analysis and data visualization
• Proficient in Python (including Pandas, NumPy, Matplotlib) and SQL
• Experience with cloud services related to AI and data, such as AWS, Azure, or Google Cloud Platform.
• Understanding of machine learning concepts, algorithms, and workflows.
• Experience with frameworks including TensorFlow, Keras, PyTorch, or Scikit-Learn.
• Familiarity with data warehousing, ETL processes, and big data technologies like Hadoop, Spark, and Kafka.

Other Required Knowledge, Experience, and Abilities:

• 3+ years experience in teaching and/or curriculum development experience
• 3+ years of industry experience in a role related to autonomous/embedded systems, mobile development, or cybersecurity.
• Experience using version control tools like Git
• Excellent English verbal, written, and copy-editing skills
• A can-do attitude and a growth mindset

Desired Qualities

• Proven ability to collaborate effectively with diverse teams, managing different priorities and personalities to reach common goals.
• Ability to prioritize and effectively handle multiple assignments each week
• Understanding of online learning and experience developing asynchronous online course content
• Demonstrated history of learning and applying new technical skills

Location: While this is a remote role, applicants must be currently authorized to work in the United States of America on a full-time basis

Compensation: The maximum base pay for this position is $130,000 depending on experience and location. This role is also eligible for a discretionary bonus, participation in Udacity’s equity plan and generous benefits.

Benefits:

Experience a rewarding work environment with Udacity's perks and benefits!

• At Udacity, we offer you the flexibility of working from home. We also have in-person collaboration spaces in Mountain View, Cairo, Dubai and Noida and continue to build opportunities for team members to connect in person
• Flexible working hours
• Paid time off
• Comprehensive medical insurance coverage for you and your dependents
• Employee wellness resources and initiatives (access to wellness platforms like Headspace, Modern Health )
• Quarterly wellness day off
• Personalized career development
• Unlimited access to Udacity Nanodegrees