First and most importantly: our mission is to bring transparency and clarity to the world's data.

Our platform, FiftyOne, is where AI work happens . Our enterprise platform is the mission critical linchpin for managing unstructured data, model development, and AI systems at the world's largest companies.

We believe that open source is the way to lead the data-centric AI revolution. Our open source version has 4 million downloads to-date.

Our software massively impacts AI work across almost every vertical: from self-driving cars to medical imaging to revolutionizing agriculture , we are at the thrilling center of real-world AI advancement’s next wave.

And we’re built on three key tenets:

• We are all human beings : we strive to be a “human-first” organization and treat everyone with the respect, care, and flexibility that all people deserve.
• We are distributed : we believe in getting autonomy and power into the hands of people actually doing the work.
• We believe in the power of community.

We are fully remote, hiring for people based in North America (with a preference for candidates on the West Coast for this role) who are prepared to travel to at least 2 in-person retreats per year, plus travel to various conferences and Meetups.

As a Machine Learning Developer Relations Engineer at Voxel51, you'll work directly with the open source FiftyOne community answering technical questions, coding integrations with complementary models and datasets, creating engaging content, plus helping organize and speak at events (in-person and virtual).

What you will do

• Writing: Author original documentation, tutorials, guides, technical articles, and blogs
• Integrations: Code up integrations that combine FiftyOne with complementary ML technologies, models, and datasets
• Videos: Self-produce short videos to supplement the written content
• Technical Support: Provide technical answers to open source users on Discord, Stackoverflow, and Reddit
• Educational Content: Create and deliver original courses, both online and in-person

What you should bring

• 2+ years of professional ML experience with an emphasis on computer vision uses cases
• MS or PhD in computer science with an emphasis on computer vision
• Proficiency with Python
• Expertise with machine learning and scientific computing libraries (TensorFlow, PyTorch, NumPy)
• Great writing ability and proficiency with a screening recording/editing suite
• Links to blogs, articles and papers written
• Links to conferences or events you have spoken at

The cash compensation for this person is in the $200K-$240K range. In addition to base comp for this role, we offer equity in the form of options, a variety of benefits, and the opportunity to grow in an exciting and collaborative environment.