Developer Advocate

San Francisco Bay Area, Remote

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LandingAI, led by globally recognized AI leader Dr. Andrew Ng, is building cutting-edge vision products. We are at the forefront of creating domain specific large vision models (LVMs) and the application of large multi-model models (LMMs) to practical vision tasks. Our Visual Prompting technology takes the ideas of text prompting and adapts them to vision – allowing vision models to be built not in hours, but in seconds. Moreover, our semantic vision layer enables businesses of all sizes to apply machine learning with minimal labeled data, turning images and videos into actionable insights. With our user-friendly tools, encapsulated in our LandingLens platform, we’re making visual AI accessible to developers worldwide.
As a Developer Advocate at LandingAI, you will lead our efforts to bring Visual AI innovation to organizations and developers building vision-enabled applications. You will work closely with our team of engineering, AI and product experts to grow engagement with application developers through educational technical content. The ideal candidate is curious about advances in AI and vision technologies and enjoys sharing their learnings through sample code, tutorials and video guides.

Here’s what you’ll do:

  • Position LandingAI as the leading Visual AI application building platform within developer and ML engineering communities.
  • Create high-quality content, including sample applications, how-to guides, technical blogs, hands-on workshops and video walkthroughs, to increase engagement with developers.
  • Partner with product and engineering teams to develop joint solution architectures, demos and presentations.
  • Nurture relationships with key external influencers and participate in online and in-person meetups related to AI and vision.
  • Develop a personal brand and influence in the Visual AI space.

Here’s the background we would like you to have:

  • Enjoy constantly expanding your knowledge and understanding of the evolving AI landscape.
  • Have a passion for writing and sharing about innovative technologies.
  • Can communicate complex technical topics to audiences of varying technical skill levels.
  • Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience.
  • Preferred: 5 years of software development experience.
  • Preferred: Coding experience in Python.
  • Preferred: Experience in Machine Learning or Artificial Intelligence.

  • Bonus:
  • Experience driving engagement on social media channels.
  • Comfortable speaking at conferences and meetups.
  • Contributions to blogs/technical articles or open-source projects.

Landing AI Benefits:

  • Health: Our people and their dependents* are covered by comprehensive medical, dental, and vision plans. 
  • Environment:  We provide an allowance for you to set up a workstation however you want. 
  • Wellness: We offer a fitness stipend to be used on well-being and fitness programs.  
  • Lifelong learning: With an education stipend, you are encouraged to keep learning and growing. 
  • PTO: We provided generous paid time off* so you can strive toward a balanced lifestyle.
  • Retirement: We offer a 401k matching plan to help you plan for your future! 
  • Events: We love having fun! We set up regular virtual and in-person events to connect with each other.
  • Global Citizen: Our people reside in North America, Latin America, and Asia. Come and join our global network! 
  • *Subject to country of employment
We are headquartered in Palo Alto CA.  While we are open to remote workers in the U.S. as long as you are GMT -8/PT time zone, local and active presence is a significant plus (SF Bay Area or Seattle/Bellevue preferred)
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Architecture Computer Science Engineering Machine Learning Open Source Prompt engineering Python

Perks/benefits: 401(k) matching Career development Conferences Fitness / gym Health care Team events Wellness

Regions: Remote/Anywhere North America
Country: United States

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